Alternatives and similar repositories for autorl-research

Users that are interested in autorl-research are comparing it to the libraries listed below

• apexrl / Batch-Offline--RL-Paper-Lists
  Paper Collection for Batch RL with brief introductions.
  ☆84Updated 3 years ago
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆74Updated 3 years ago
• YaoMarkMu / Awesome-Pretrained-RL
  ☆91Updated 3 years ago
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆57Updated 2 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆133Updated last year
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆53Updated last year
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆70Updated 3 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆94Updated 2 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆41Updated 3 years ago
• etaoxing / multigame-dt
  Implementation of Multi-Game Decision Transformers in PyTorch
  ☆49Updated 2 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 10 months ago
• OpenRL-Lab / TiZero
  Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
  ☆67Updated 2 years ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆18Updated 3 years ago
• csmile-1006 / PreferenceTransformer
  Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
  ☆167Updated 2 years ago
• sparkmxy / my-offlinerl
  ☆26Updated 3 years ago
• elicassion / StARformer
  [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.
  ☆96Updated 2 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆72Updated 2 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆136Updated 2 years ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆40Updated 11 months ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆62Updated 2 years ago
• xionghuichen / MAPLE
  The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
  ☆25Updated 2 years ago
• tyq1024 / RLx2
  ☆33Updated 2 years ago
• RchalYang / Soft-Module
  Code for "Multi-task Reinforcement Learning with Soft Modularization"
  ☆123Updated 5 years ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆120Updated 3 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆52Updated 5 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆67Updated 2 years ago
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆43Updated 9 months ago
• FanmingL / ESCP
  Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy
  ☆20Updated 3 years ago
• apexrl / autombpo
  Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>
  ☆13Updated 4 years ago
• MadryLab / implementation-matters
  ☆135Updated last year