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
  ☆178Updated 2 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆179Updated 5 months ago
• Farama-Foundation / D4RL-Evaluations
  ☆195Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆167Updated 3 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆160Updated 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 last year
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆72Updated 2 years ago
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆130Updated 2 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆111Updated 2 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆132Updated last year
• apexrl / Batch-Offline--RL-Paper-Lists
  Paper Collection for Batch RL with brief introductions.
  ☆84Updated 3 years ago
• ikostrikov / implicit_q_learning
  ☆266Updated 3 years ago
• liuzuxin / OSRL
  🤖 Elegant implementations of offline safe RL algorithms in PyTorch
  ☆200Updated 7 months ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆167Updated 5 months ago
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• MadryLab / implementation-matters
  ☆129Updated 9 months ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆72Updated 2 months ago
• toshikwa / fqf-iqn-qrdqn.pytorch
  PyTorch implementation of FQF, IQN and QR-DQN.
  ☆176Updated 9 months ago
• pokaxpoka / sunrise
  SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
  ☆124Updated 4 years ago
• jiangsy / mbpo_pytorch
  ☆29Updated 3 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆86Updated 4 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆121Updated 3 years ago
• TonghanWang / ROMA
  Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
  ☆160Updated 2 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 2 years ago
• etaoxing / multigame-dt
  Implementation of Multi-Game Decision Transformers in PyTorch
  ☆46Updated 2 years ago
• BorealisAI / mtmfrl
  Multi Type Mean Field Reinforcement Learning
  ☆31Updated 2 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆133Updated 9 months ago