Alternatives and similar repositories for NeoRL

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

• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆195Updated 9 months ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆184Updated 3 years 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
  ☆51Updated 4 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆71Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆179Updated 3 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆112Updated 2 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆201Updated 2 years ago
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆134Updated last year
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 3 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…
  ☆140Updated last year
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 5 years ago
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆132Updated 2 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆172Updated 9 months ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• microsoft / ATAC
  Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …
  ☆71Updated 2 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆75Updated 5 months ago
• MadryLab / implementation-matters
  ☆133Updated last year
• 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
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆74Updated 2 years ago
• sparkmxy / my-offlinerl
  ☆24Updated 3 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆130Updated 3 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆60Updated 2 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• toshikwa / fqf-iqn-qrdqn.pytorch
  PyTorch implementation of FQF, IQN and QR-DQN.
  ☆183Updated last year
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆51Updated 2 years ago
• ikostrikov / implicit_q_learning
  ☆280Updated 3 years ago
• jiangsy / mbpo_pytorch
  ☆29Updated 3 years ago