Omkar2118/datasets huggingface dataset:
Def_Infantry_sequential

SMAC+ defensive infantry scenario with sequential episodic buffer

Introducing paper: The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Off_Complicated_parallel
Full name: SMAC+_Off_Complicated_parallel_20

smac+ offensive complicated scenario with 20 parallel episodic buffer.
Def_Armored_parallel
Full name: SMAC+_Def_Armored_parallel_20

smac+ defense armored scenario with parallel episodic buffer
Def_Outnumbered_parallel
Full name: SMAC+_Def_Outnumbered_parallel_20

smac+ defense outnumbered scenario with parallel episodic buffer
Off_Hard_parallel
Full name: SMAC+_Off_Hard_parallel_20

smac+ offensive hard scenario with 20 parallel episodic buffer.
Off_Superhard_parallel
Full name: SMAC+_Off_Superhard_parallel_20

smac+ offensive scenario with 20 parallel episodic buffer.
Def_Armored_sequential

SMAC+ defensive armored scenario with sequential episodic buffer

Introducing paper: The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Def_Outnumbered_sequential

SMAC+ defensive outnumbered scenario with sequential episodic buffer

Introducing paper: The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Off_Near_sequential

SMAC+ offensive near scenario with sequential episodic buffer

Introducing paper: The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Off_Distant_sequential

SMAC+ offensive distant scenario with sequential episodic buffer

Introducing paper: The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Off_Complicated_sequential

SMAC+ offensive complicated scenario with sequential episodic buffer

Introducing paper: The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Off_Hard_sequential

SMAC+ offensive hard scenario with sequential episodic buffer

Introducing paper: The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Off_Superhard_sequential

SMAC+ offensive superhard scenario with sequential episodic buffer

Introducing paper: The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
MOTFront

MOTFront provides photo-realistic RGB-D images with their corresponding instance segmentation masks, class labels, 2D & 3D bounding boxes, 3D geometry, 3D poses and camera parameters. The MOTFront dataset comprises 2,381 unique indoor sequences with a total of 60,000 images and is based on the 3D-FRONT dataset.

Introducing paper: 3D Multi-Object Tracking with Differentiable Pose Estimation