Alternatives and similar repositories for NeoRL:

Users that are interested in NeoRL are comparing it to the libraries listed below

• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆177Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆166Updated 2 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆194Updated 2 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆174Updated 4 months ago
• apexrl / Batch-Offline--RL-Paper-Lists
  Paper Collection for Batch RL with brief introductions.
  ☆84Updated 3 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆49Updated 4 years ago
• BY571 / CQL
  PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…
  ☆135Updated 10 months ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• MadryLab / implementation-matters
  ☆127Updated 8 months ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆160Updated 4 years ago
• ikostrikov / implicit_q_learning
  ☆258Updated 3 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆108Updated last year
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆129Updated last year
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆162Updated 4 months ago
• toshikwa / fqf-iqn-qrdqn.pytorch
  PyTorch implementation of FQF, IQN and QR-DQN.
  ☆174Updated 8 months ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆123Updated 7 months ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆72Updated 3 weeks ago
• TonghanWang / ROMA
  Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
  ☆156Updated 2 years ago
• gouxiangchen / soft-Q-learning
  discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!
  ☆56Updated 2 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• YuhangSong / Arena-Baselines
  Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
  ☆103Updated 3 weeks ago
• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆124Updated 4 years ago
• etaoxing / multigame-dt
  Implementation of Multi-Game Decision Transformers in PyTorch
  ☆46Updated 2 years ago
• toshikwa / gail-airl-ppo.pytorch
  PyTorch implementation of GAIL and AIRL based on PPO.
  ☆210Updated 4 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 2 years ago
• ray-project / rl-experiments
  Keeping track of RL experiments
  ☆162Updated 2 years ago
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆129Updated 2 years ago
• lmzintgraf / varibad
  Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)
  ☆186Updated 2 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago