Alternatives and similar repositories for OfflineRL

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

• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆29Updated last year
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 3 weeks ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆18Updated 2 years ago
• rail-berkeley / design-bench
  ☆50Updated 3 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆24Updated last year
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 3 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆67Updated 3 years ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆63Updated last year
• hiwonjoon / IROS2021_SORS
  ☆11Updated 4 years ago
• micahcarroll / uniMASK
  Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"
  ☆56Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆59Updated 10 months ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆23Updated last year
• google-deepmind / active_ops
  ☆32Updated last year
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆38Updated 4 years ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆20Updated 3 years ago
• JasonMa2016 / SMODICE
  Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…
  ☆26Updated 2 years ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• david-lindner / idrl
  Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).
  ☆13Updated 3 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆40Updated 2 years ago
• yuchen-x / MacroMARL
  ☆22Updated last year
• jdchang1 / milo
  ☆16Updated 3 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆17Updated 3 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• zdhNarsil / Stochastic-Marginal-Actor-Critic
  Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
  ☆24Updated 2 years ago
• PeideHuang / gradient
  Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
  ☆11Updated last year