yusuke1997/dblp-id-title huggingface dataset:
An approach to incremental compilation
From Information Structures to DBTG Data Structures
Automatic generation of fixed-point-finding evaluators for circular, but well-defined, attribute grammars
Correctness of Data Representations: Pointers in High Level Languages
At the Programming Language - Microprogramming interface
Optimization of Range Checking
Semantic Errors - Diagnosis and Repair
Proceedings of the Meeting on SIGPLAN/SIGMICRO Interface, Harriman, New York, USA, May 30 - June 1, 1973
Software design with invocation diagram
Effective machine descriptors for Ada
Experience with a Graham-Glanville style code generator
The Proposal of Hierarchical Integrated Management for Nation-Wide Tax Processing Network
Management of RCE Networks
A Methodology for Structuring Management of Networked Systems
Administering Network Behaviour Through Assessment of Performance Indicators
High Level Generic Design of an ISDN Programming Communications Interface (PCI) for EuroISDN
Interoperability of Open Management Systems
Automating the OSI to Internet Management Conversion Through the Use of an Object-Oriented Platform
Unification of Heterogeneous Network Management
Management with Delegation
Reactive DQDB: A New Approach to the Unfairness Problem
Advanced Information Processing Techniques for LAN and MAN Management, Proceedings of the IFIP TC6/WG6.4 International Conference on Advanced Information Processing Techniques for LAN and MAN Management, Versailles, France, 7-9 April, 1993
Application of a Model Based Expert System to the Maintenance of a MAN
An Overview of Fault Management in Telecommunication Networks
Efficient Ressources Management in Local Area Networks
Management in Broadband Networks: ATM Networks Fault Management
An Object Oriented Methodology for Realization and Management of a High Speed Gateway
On Overview of the Existing Solutions for the Integration of Intelligent Network and Telecommunication Management Network
Distributed Artificial Intelligence as an AIP Technique for Network Management
Label Management in Broadband Internetworks
A Distributed Processing Support for an Integrated Network Management
Managing Heterogeneous Networks: Integrator-Based Approach
Telecommunication Management Platforms
Advanced Information Processing for TMN-Research in RACE I
Requirements-based Explainability for Multi Agent Systems
Formalising Overdetermination in a Labelled Transition System
Robust Strategies for Stochastic Multi-Agent Systems
Learning Collusion in Episodic, Inventory-Constrained Markets
Tackling Temporal Deontic Challenges with Equilibrium Logic
On the Distortion of Multi-Winner Elections on the Line Metric
Experience-replay Innovative Dynamics
Planning for Temporally Extended Goals based on alpha-CTL
Multiagent Systems, and the Search for Appropriate Foundations: A Personal Journey and Retrospective
Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent Behaviour
Certified Guidance for Planning with Deep Generative Models
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Parameterized Algorithms for Multiagent Pathfinding on Trees
Contesting Black-Box AI Decisions
Beyond Words: Integrating Personality Traits and Context-Driven Gestures in Human-Robot Interactions
Free Argumentative Exchanges for Explaining Image Classifiers
Group-fair Facility Location Games with Externalities
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring
The Bakers and Millers Game with Restricted Locations
Evaluation-Time Policy Switching for Offline Reinforcement Learning
Tackling the Protocol Problem in Automated Negotiation
Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools
Order Symmetry: A New Fairness Criterion for Assignment Mechanisms
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks
Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models
Offline Multi-Agent Preference-based Reinforcement Learning with Agent-aware Direct Preference Optimization
Goal Recognition via Variational Causality
Efficient Model Checking with Semantically-Equivalent Models for vGOAL
Multimodal Agentic Model Predictive Control
Higher-Order Belief in Incomplete Information MAIDs
Maximizing Value in Challenge the Champ Tournaments
EFX Allocations and Orientations on Bipartite Multi-graphs: A Complete Picture
Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation
Temporal Network Creation Games: The Impact of Non-Locality and Terminals
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Geometric Freeze-Tag Problem
Responsible Uplift Modeling
Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
Cultural Evolution of Cooperation among LLM Agents
Timed Obstruction Logic: A Timed Approach to Dynamic Game Reasoning
Coordinating Competing Electric Vehicle Fleets: An Agent-Based Charging Capacity Market
Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination
Interaction Protocols in an Imperative Agent-Oriented Programming Language: the case of BSPL and SARL
Teamwork Makes the Defense Work: Comprehensive Vulnerability Defense Resource Allocation
Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact
Value Iteration for Learning Concurrently Executable Robotic Control Tasks
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
Rethinking Explainable AI: Explanations can be Deceiving
MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment
Matching Markets with Chores
Impact Measures for Gradual Argumentation Semantics
Multi-Ship Future Interaction Trajectory Prediction via Pre-Initializer Diffusion Model
Agent-based Modeling and Simulation of Ambiguity in Catastrophe Insurance Markets
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
Truthful and Welfare-maximizing Resource Scheduling with Application to Electric Vehicles
Optimising Expectation with Guarantees for Window Mean Payoff in Markov Decision Processes
Housing Market on Networks
Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation
Fair Division in a Variable Setting
Fast UCB-type Algorithms for Stochastic Bandits with Heavy and Super Heavy Symmetric Noise
ReSCOM: Reward-Shaped Curriculum for Efficient Multi-Agent Communication Learning
Practical Abstractions for Model Checking Continuous-Time Multi-Agent Systems
Multi-agent Reinforcement Learning in the All-or-Nothing Public Goods game on Networks
Truthful Mechanisms for Linear Bandit Games with Private Contexts
Simplifying Imperfect Recall Games
A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning
More Efficient Sybil Detection Mechanisms Leveraging Resistance of Users to Attack Requests
Learning Diverse Multiagent Behaviors
Weighted Envy Freeness With Bounded Subsidies
The Metric Distortion of Randomized Social Choice Functions: C1 Maximal Lottery Rules and Simulations
Learning Heterogeneous Agent Collaboration in Decentralized Multi-Agent Systems via Intrinsic Motivation
SmartPilot: Agent-Based CoPilot for Intelligent Manufacturing
Efficient Offline Reinforcement Learning Through Dataset Characterization and Reduction
Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management
ACORN: Acyclic Coordination with Reachability Network to Reduce Communication Redundancy in Multi-Agent Systems
Monte Carlo Tree Search with Velocity Obstacles for Safe and Efficient Motion Planning in Dynamic Environments
Adaptive Microtolling in Competitive Online Congestion Games via Multiagent Reinforcement Learning
Fusing Physical and Cognitive Stimuli: An Eye Movement Emotion Recognition Framework Based on Hierarchical Attention Mechanism
Task-Agnostic Contrastive pre-Training for Inter-Agent Communication
Curiosity-Driven Partner Selection Accelerates Convention Emergence in Language Games
Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health
An AI-Driven Card Playing Robot: An Empirical Study on Communicative Style and Embodiment with Elderly Adults
FORM: Learning Expressive and Transferable First-Order Logic Reward Machines
Responsible Autonomy for Hybrid Intelligence
Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning
Market-based Architectures in RL and Beyond
Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning
Empirical Hardness in Multi-Agent Pathfinding: Research Challenges and Opportunities
Probabilistic Timed ATL
k -ApprovalVeto: A Spectrum of Voting Rules Balancing Metric Distortion and Minority Protection
Who Reviews The Reviewers? A Multi-Level Jury Problem
Equilibrium Analysis in Markets with Asymmetric Utility Functions
Extending Consensus-based Task Allocation Algorithms with Bid Intercession to Foster Mixed-Initiative
Weighted Envy-free Allocation with Subsidy
A Scoresheet for Explainable AI
The Agent Paradox: Can Multi-Agent Systems Replicate the Complexity of Human Cognition and Social Behavior?
Context Adaptive Memory-Efficient LLM Inference for Edge Multi-Agent Systems
Dynamic Option Creation in Option-Critic Reinforcement Learning
A View of the Certainty-Equivalence Method for PAC RL as an Application of the Trajectory Tree Method
Reinforcement Learning Based Simulated Annealing
Symplex: Learning Social Norm Hierarchies by Combining Autonomous Exploration and Expert Imitation
AlphaZeroES: Direct Score Maximization Outperforms Planning Loss Minimization
Mitigating Non-Stationarity in Deep Reinforcement Learning with Clustering Orthogonal Weight Modification
The Price of Anarchy in Spatial Social Choice
The Effect of Agent-based Feedback on Prosociality in Social Dilemmas
Causality in Multi-Agent Systems
Azorus: Commitments over Protocols for BDI Agents
Large Language Models for Virtual Human Gesture Selection
Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning
Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework
SFedRec: A Federated Learning Framework for Dynamic Session-based Recommendation
Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
Voter Model Meets Rumour Spreading: A Study of Consensus Protocols on Graphs with Agnostic Nodes
(Submodular) Hedonic Games with Common Ranking Property
From Natural Language to Extensive-Form Game Representations
Near-Linear Time Leader Election in Multiagent Networks
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL
Game-Family Learning for Simulation-Based Games
Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection
On the Gale-Shapley Algorithm for Stable Matchings with a Partial Honesty Nash Refinement
Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPF
Data Pricing for Graph Neural Networks without Pre-purchased Inspection
Ethical Decision-Making in Multi-Agent Systems
Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks
ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling
Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making
Dynamic Reward Sharing to Enhance Learning in the Context of Multiagent Teams
Algorithmically Fair Maximization of Multiple Submodular Objective Functions
Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games
Condorcet Winners and Anscombe's Paradox Under Weighted Binary Voting
Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning
MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach
Approximation Algorithms for Connected Maximum Coverage
LTL Verification of Memoryful Neural Agents
Safe Entropic Agents under Team Constraints
OGS-SLAM: Hybrid ORB-Gaussian Splatting SLAM
Robustness of Epistemic Gossip Protocols Against Data Loss
Navigating in a Space of Game Views (extended abstract)
Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays
Tyranny of the Minority in Social Choice: a Call to Arms
Bidding Games on Markov Decision Processes with Quantitative Reachability Objectives
Temporal Fair Division of Indivisible Items
Combining Normative Ethics Principles to Learn Prosocial Behaviour
Recommending Green Routes for Pedestrians to Reduce the Exposure to Air Pollutants in Barcelona
Learning Graph Representation of Agent Diffusers
The Degree of (Extended) Justified Representation and Its Optimization
ShipNaviSim: Data-Driven Simulation for Real-World Maritime Navigation
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025, Detroit, MI, USA, May 19-23, 2025
LUNAR: A Runtime Verification Tool for Anomaly Detection in Gas Networks
Carbon Trading Supply Chain Management Based on Constrained Deep Reinforcement Learning
Managing an Agent's Changing Intentions Using ltl f Synthesis
Fair Allocation of Divisible Goods under Non-Linear Valuations
Soft Condorcet Optimization for Ranking of General Agents
Multi-Agent Systems for Bullying Intervention
Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning
Egalitarianism in Online Coalition Formation
CPE: A New Paradigm for Policy Extraction in Offline Reinforcement Learning
Logic of Knowledge and Cognitive Ability
Emit As You Go: Enumerating Edges of a Spanning Tree
IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems
Lite-DIO Is Actually What You Need for Efficient Inertial Localization
Factorised Active Inference for Strategic Multi-Agent Interactions
Equilibrium Selection via Communication Partition
Insights Regarding the Success of Damping in Improving Belief Propagation
Surprise! Surprise! Learn and Adapt
A summary of: Tackling School Segregation with Transportation Network Interventions - An Agent-Based Modelling Approach
On the Effective Horizon of Inverse Reinforcement Learning
Compositional Shielding and Reinforcement Learning for Multi-Agent Systems
Safe Multi-Agent Learning via Shielding in Decentralized Environments
Simulating Blockchain Applications in Large-Value Payment Systems through Agent-Based Modeling
Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints
Strategic Manipulation of Preferences in the Rank Minimization Mechanism
MapBot: A Multi-Modal Agent for Geospatial Analysis
Indifferential Privacy: A New Paradigm and Its Applications to Optimal Matching in Dark Pool Auctions
Where is the Nearest EV Charging Station? Evolutionary Optimization of the Gas/charging Stations Topology
Smooth Information Gathering in Two-Player Noncooperative Games
A JAX-Accelerated Simulation Framework for Multi-Agent Energy Management in Energy Communities
Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields
Traffic Anomaly Detection through Generative Modeling of Multi-Agent Interactions in Traffic Flow
Fast Adaption by Policy Deviation Integral Meta-reinforcement Learning with Applications to High-speed Trains Operation
Heuristics-Assisted Experience Replay Strategy for Cooperative Multi-Agent Reinforcement Learning
Personality-Driven Decision Making in LLM-Based Autonomous Agents
Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks
EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking
Humanlike Emergent Language in Multi-Agent Systems
On the Complexity of Learning to Cooperate in Populations of Socially Rational Agents
Predictive Improvement through Latent Space Optimisation
Learning in Games with Progressive Hiding
Parameterized Complexity of Hedonic Games with Enemy-Oriented Preferences
Towards Fair and Efficient Public Transportation: A Bus Stop Model
On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks
RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games
Approximation Ratio for Preference Aggregation Using Tree CP-Nets
ApproxED: Approximate Exploitability Descent via Learned Best Responses
Modeling the Collaborative Edge Data Caching Problem via a Dynamic DCOP
Rational Capability in Concurrent Games
Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models
Implicit Repair with Reinforcement Learning in Emergent Communication
Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework
Mean Field Correlated Imitation Learning
Shapley Value-based Approach for Distributing Revenue of Matchmaking of Private Transactions in Blockchains
Socratic: Enhancing Human Teamwork via AI-enabled Coaching
Emergence of Recursive Language through Bootstrapping and Iterated Learning
Learning to Explore when Mistakes are Not Allowed
Multi-Objective Planning with Contextual Lexicographic Reward Preferences
Diverse Heterogeneous Graph Conditioned Diffusion for Multi-Agent Teaming
Deep Learning approaches to Goal Recognition
Predictability Awareness for Efficient and Robust Multi-Agent Coordination
Practical Comparisons of Reservoir Topology Performance and Input Distribution in Digital Reservoir Computers
Uncertain Machine Ethics Planning
Pabuviz.org: A Visualisation Platform to Explore Participatory Budgeting Elections
InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following
Satisfactory Budget Division
[COMP24] The Automated Negotiating Agents Competition (ANAC) 2024 Challenges and Results
When to Stop Getting Tested: The Theory of Diagnostic Tests
Why Instant-Runoff Voting Is So Resilient to Coalitional Manipulation: Phase Transitions in the Perturbed Culture
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning
Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods
Approximating One-Sided and Two-Sided Nash Social Welfare With Capacities
Grounding Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied Cognition
BitML2MCMAS: Strategic Reasoning for Bitcoin Smart Contracts
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
Is an Exponentially Growing Action Space Really that Bad? Validating a Core Assumption for using Multi-Agent RL
Model of the Influence of External Signals on the Trust of the Agent in Multi Agent System
The Strong Core of Housing Markets with Partial Order Preferences
Fairly Allocating Goods in Parallel
Explaining Facial Expression Recognition
Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits
A Hypothesis-Driven Approach to Explainable Goal Recognition
Byzantine Game Theory: Sun Tzu's Boxes
Tighter Value-Function Approximations for POMDPs
Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning
Contest Partitioning in Binary Contests: Costly, yet Beneficial
Using Assistance Rewards Without Introducing Bias: Overcoming Sparse Rewards in Multi-Agent Reinforcement Learning
HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning
Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games
Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning
Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners
Fairness in Cooperative Multi-agent Multi-objective Reinforcement Learning using the Expected Scalarized Return
FGLight: Learning Neighbor-level Information for Traffic Signal Control
Balancing Fairness and Efficiency in the Allocation of Indivisible Goods
Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO
Liquid Welfare and Revenue Monotonicity in Adaptive Clinching Auctions
Networked Agents in the Dark: Team Value Learning under Partial Observability
Self-Supervised Multi-Agent Diversity with Nonparametric Entropy Maximization
Minimizing Makespan with Conflict-Based Search for Optimal Multi-Agent Path Finding
Changing the Rules of the Game: Reasoning About Dynamic Phenomena in Multi-Agent Systems
Opinion Dynamics with Median Aggregation
Game Theory with Simulation in the Presence of Unpredictable Randomisation
Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits
Group Fairness in Multi-period Mobile Facility Location Problems
Dynamic Coalition Structure Detection in Natural-Language-based Interactions
Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories
Environmental Policies within Cournot Oligopoly
On the Structure of EFX Orientations on Graphs
Probably Correct Optimal Stable Matching for Two-Sided Market Under Uncertainty
Causes and Strategies in Multiagent Systems
Improving Policy Optimization via ε-Retrain
The Game Academy: Learn while playing, and play while learning!
Learning Fair and Preferable Allocations through Neural Network
Incentives for Early Arrival in Cost Sharing
Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication
PANDA: Priority-Based Collision Avoidance Framework for Heterogeneous UAVs Navigating in Dense Airspace
Consistency Policy with Categorical Critic for Autonomous Driving
Games in Public Announcement: How to Reduce System Losses in Optimistic Blockchain Mechanisms
Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry
Transformer Guided Coevolution: Improved Team Formation in Multiagent Adversarial Games
Gricean Norms as a Basis for Effective Collaboration
Combining LLMs with a Logic-Based Framework to Explain MCTS
The Many Challenges of Human-Like Agents in Virtual Game Environments
Local Anomaly Detection with Partial Observation in Multi-agent Systems as a Data Matching Game
Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent
Full Proportional Justified Representation
Decoding Negotiation Dynamics: The Impact of Opponent Identity and Privacy on Strategy, Deception, and Emotional Transparency in Human-Agent Interaction
Formal Verification of Manipulation Dialogues
Simulating Tracking Data to Advance Sports Analytics Research
Eva: An LLM-based Multilingual Voice-agent Network for Restaurant Operations
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Enhancing Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion Planning
Scalable Offline Reinforcement Learning for Mean Field Games
The Next Level of Long-Term Agent Autonomy - Proactively Acquiring Knowledge and Abilities
Who Am I Dealing With? Explaining the Designer's Hidden Intentions
GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought
The Impact of Artificial Agents in Human Cooperation Through Indirect Reciprocity
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
On the Limits of Agency in Agent-based Models