RchalYang / RLPaperList

Related projects ⓘ

Alternatives and complementary repositories for RLPaperList

• jiangsy / mbpo_pytorch
  ☆28Updated 2 years ago
• rraileanu / idaac
  ☆54Updated 8 months ago
• apexrl / bmpo
  Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
  ☆23Updated last year
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆70Updated last year
• Hwhitetooth / lirpg
  ☆59Updated 6 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆49Updated 11 months ago
• dennisl88 / rand_param_envs
  Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7
  ☆20Updated 5 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆57Updated 2 years ago
• MadryLab / implementation-matters
  ☆118Updated 3 months ago
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 4 years ago
• ajlangley / cpo-pytorch
  An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch
  ☆22Updated 4 years ago
• kpaonaut / HAAR-A-Hierarchical-RL-Algorithm
  Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
  ☆30Updated last year
• thanard / me-trpo
  ☆90Updated 11 months ago
• davidbrandfonbrener / onestep-rl
  ☆40Updated 3 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆48Updated 5 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆34Updated last year
• rommeoijcai2019 / rommeo
  IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)
  ☆23Updated last year
• oxwhirl / comix
  ☆42Updated 3 years ago
• MAS-anony / ASN
  ☆32Updated last year
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆42Updated 2 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated last year
• Jinjiarui / hrl-papers
  A collection of research and survey papers of hierarchical reinforcement learning (HRL).
  ☆38Updated 4 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆33Updated 5 years ago
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆26Updated 2 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆70Updated last year
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆71Updated 2 years ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 2 years ago
• gouxiangchen / soft-Q-learning
  discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!
  ☆52Updated 2 years ago
• Stilwell-Git / Randomized-Return-Decomposition
  TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"
  ☆19Updated 2 years ago
• PKU-RL / Literature
  ☆97Updated 3 years ago