Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

Curated list of known efforts in materials informatics, i.e. in modern materials science

Efficient Batched Reinforcement Learning in TensorFlow

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

very easy implementation of dueling DQN in pytorch

machine learning and deep learning tutorials, articles and other resources

This project attempts to use Reinforcement Learning to train a model to perform simple maneuvers, plan navigation and avoid dynamic obstacles.

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

A collection of awesome resources related to the yearly Advent of Code challenge.

Resources on various topics being worked on at IvLabs