zblhero's Stars
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
tkipf/pygcn
Graph Convolutional Networks in PyTorch
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
google-research/football
Check out the new game server:
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Diego999/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
d12frosted/homebrew-emacs-plus
Emacs Plus formulae for the Homebrew package manager
openai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
geek-ai/MAgent
A Platform for Many-Agent Reinforcement Learning
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
tigerneil/awesome-deep-rl
For deep RL and the future of AI.
pranz24/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
sisl/MADRL
Repo containing code for multi-agent deep reinforcement learning (MADRL).
xuehy/pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
vy007vikas/PyTorch-ActorCriticRL
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
hungtuchen/pytorch-dqn
Deep Q-Learning Network in pytorch (not actively maintained)
mlii/mfrl
Mean Field Multi-Agent Reinforcement Learning
minqi/learning-to-communicate-pytorch
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
bknyaz/graph_nn
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
openai/gym-soccer
ermongroup/MA-AIRL
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
bkj/pytorch-graphsage
Representation learning on large graphs using stochastic graph convolutions.
ermongroup/multiagent-gail
victor-shepardson/alpha-GAN
pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).
Bigpig4396/PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
AltschulerWu-Lab/scScope
schroederdewitt/mackrl
Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
zt95/infinite-horizon-off-policy-estimation
zblhero/GA-ATAC