Alternatives and similar repositories for RLAssistant

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

• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆136Updated 2 years ago
• jiangsy / mbpo_pytorch
  ☆30Updated 3 years ago
• apexrl / Batch-Offline--RL-Paper-Lists
  Paper Collection for Batch RL with brief introductions.
  ☆84Updated 3 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆133Updated last year
• xionghuichen / MAPLE
  The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
  ☆25Updated 2 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆79Updated 3 years ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated last week
• FanmingL / SmartLogger
  ☆12Updated last year
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 11 months ago
• RchalYang / RLPaperList
  Personal Repo to keep track of RL papers
  ☆31Updated 4 years ago
• tianheyu927 / mopo
  Code for MOPO: Model-based Offline Policy Optimization
  ☆191Updated 3 years ago
• wenzhe-li / romi
  Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"
  ☆19Updated 4 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆183Updated 3 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆55Updated 2 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆133Updated 4 years ago
• typoverflow / UtilsRL
  A python module designed for agile RL algorithm developing.
  ☆26Updated last year
• lns / dapo
  Source code for the paper "Divergence-Augmented Policy Optimization"
  ☆37Updated 6 years ago
• microsoft / ATAC
  Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …
  ☆72Updated 3 years ago
• MadryLab / implementation-matters
  ☆135Updated last year
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆208Updated last year
• kaixin96 / rl-generalization-paper
  A list of papers regarding generalization in (deep) reinforcement learning
  ☆153Updated 2 years ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆26Updated 3 years ago
• FanmingL / ESCP
  Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy
  ☆20Updated 3 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆35Updated 3 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆176Updated last year
• davidbrandfonbrener / onestep-rl
  ☆44Updated 4 years ago
• rraileanu / idaac
  ☆54Updated last year
• jiangsy / slbo_pytorch
  ☆15Updated 5 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆52Updated 5 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆202Updated 2 years ago