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This is the official site for the paper POMA published in Advanced Intelligent Systems.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Multi-Agent Reinforcement Learning with JAX
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Not only automatic, but also intelligent. An Intelligent data Visualization System, based on LLM.
? gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.
Lightweight multi-agent gridworld Gym environment
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.