Alternatives and similar repositories for hrl-papers:

Users that are interested in hrl-papers are comparing it to the libraries listed below

• jiangsy / mbpo_pytorch
  ☆28Updated 3 years ago
• RchalYang / RLPaperList
  Personal Repo to keep track of RL papers
  ☆31Updated 3 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 2 years ago
• Hwhitetooth / lirpg
  ☆60Updated 6 years ago
• apexrl / Imitation-Learning-Paper-Lists
  Paper Collection for Imitation Learning in RL.
  ☆143Updated 3 years ago
• TonghanWang / EITI-EDTI
  Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)
  ☆30Updated 5 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• YaoMarkMu / Awesome-Pretrained-RL
  ☆88Updated 2 years ago
• MadryLab / implementation-matters
  ☆127Updated 8 months ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆120Updated 3 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆193Updated 2 years ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆85Updated 4 years ago
• apexrl / GCRL-Collection
  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…
  ☆120Updated last year
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆25Updated 2 years ago
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆151Updated last year
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 3 years ago
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆129Updated 2 years ago
• rraileanu / idaac
  ☆53Updated last year
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆108Updated last year
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• KamyarGh / rl_swiss
  ☆66Updated 4 years ago
• pokaxpoka / B_Pref
  ☆47Updated 2 years ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆123Updated 7 months ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆167Updated 2 years ago
• TonghanWang / RODE
  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …
  ☆73Updated 3 months ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆175Updated 2 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆49Updated 4 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆162Updated 4 months ago
• tianxusky / Code-for-Error-Bounds-of-Imitating-Policies-and-Environments
  ☆10Updated 4 years ago