Venue: ICLR 2023 TinyPapers

Reviews:

final_score: rating: High Potential (HP): a submission which meets the reviewing criteria and has potential to make an impact on the field
review_content: summary_of_contributions: In this authors proposed use of stochastic model to learn sustainable resource dynamics with an aim of maximising profit while managing sustainable resources
strengths_and_weaknesses: Strengths:

- Authors targeted an important concern which is the need for time

- The proposed solution is evaluated with a simulation

Weakness:

-Authors did not test the solution with real-world data, or neither the data collected using a standard simulator
suggested_changes: We suggest authors test the solution with real-world data, or with the data collected using a standard simulator
review_title: null

Meta-review: metareview: This paper proposes a stochastic model to manage sustainable resources with the goal of maximizing profit. The authors' contributions address an important concern. However, the proposed solution is evaluated through simulations and not tested on real-world data. The strengths of this paper lie in combining two techniques in a stochastic setting.
confidence: 4: The area chair is confident but not absolutely certain
Decision: Invite to present