A library of multi-agent reinforcement learning components and systems

This is the official implementation of Multi-Agent PPO (MAPPO).

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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

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Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Author's PyTorch implementation of TD3 for OpenAI gym tasks

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Fair Resource Allocation in Federated Learning (ICLR '20)

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Simple A3C implementation with pytorch + multiprocessing

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments