never's repositories
HandyRL
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
mtrl
Multi Task RL Baselines
machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
CausalCuriosity
Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML 2021.
AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
TD3_BC
Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
ActionEmbedding
Code repository for paper.
metaworld
An open source robotics benchmark for meta- and multi-task reinforcement learning
DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
FOCAL-ICLR
Code for FOCAL Paper Published at ICLR 2021
drr_restaurants
A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.
dream
Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
meld
MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
vswarm
vswarm: A ROS package to simulate and deploy vision-based drone swarms
Recommender_system_via_deep_RL
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.
Deep_successor_feature
Implementation of deep successor feature algorithm
AAAI2021-VDFP
Source code and raw data of learning curves for AAAI 2021 paper - 《Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction》
TamakEriFever
AI for google research football
coma_rllib
Implentation of COMA using RLlib.
football-paris
The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141
meta_irl
Clone repo of https://github.com/ermongroup/MetaIRL
d4rl
A benchmark for offline reinforcement learning.
catalyst-rl-tutorial
Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.
rlkit
Collection of reinforcement learning algorithms