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An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

An curated compilation of research papers spanning Deep Learning, Machine Learning, Reinforcement Learning, and Robotics that I have personally read and highly recommend

Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

? A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Python implementation of KNN and DTW classification algorithm

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..