dingwq22's Stars
GunterMueller/Books-3
G33kzD3n/Catalogue
hhexiy/opponent
Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"
dkkim93/meta-mapg
Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)
luchris429/model-free-opponent-shaping
Code for Model-Free Opponent Shaping (ICML 2022)
alexis-jacq/LOLA_DiCE
Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
alshedivat/lola
Code release for Learning with Opponent-Learning Awareness and variations.
ermongroup/MA-AIRL
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
manantomar/Mirror-Descent-Policy-Optimization
Mirror Descent Policy Optimization
cbfinn/gps
Guided Policy Search
oxwhirl/pymarl
Python Multi-Agent Reinforcement Learning framework
TonghanWang/NDQ
Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
openai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
google-deepmind/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
EricSteinberger/Deep-CFR
Scalable Implementation of Deep CFR and Single Deep CFR
cs230-stanford/cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
siemprecollective/online-town-public-release