Stars
Command-line program to download videos from YouTube.com and other video sites
PyTorch implementations of Generative Adversarial Networks.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
An elegant PyTorch deep reinforcement learning library.
PyTorch implementations of deep reinforcement learning algorithms and environments
A TensorFlow Implementation of the Transformer: Attention Is All You Need
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Modularized Implementation of Deep RL Algorithms in PyTorch
PyTorch implementation of Super SloMo by Jiang et al.
Sarasra / models
Forked from tensorflow/modelsModels and examples built with TensorFlow
Collection of reinforcement learning algorithms
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Python Multi-Agent Reinforcement Learning framework
A Platform for Many-Agent Reinforcement Learning
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
The basic distribution probability Tutorial for Deep Learning Researchers
Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
This is the official implementation of Multi-Agent PPO (MAPPO).
Learning Latent Dynamics for Planning from Pixels
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.