Alternatives and similar repositories for TSRL

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

• Facebear-ljx / PROTO
  ☆19Updated 2 years ago
• AIR-DI / D2C
  D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.
  ☆24Updated last year
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆27Updated 3 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆34Updated 2 years ago
• geon-hyeong / imitation-dice
  ☆7Updated 2 years ago
• t6-thu / xTED
  [OWA@NeurIPS'24] xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
  ☆19Updated 9 months ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆38Updated last year
• OffDynamicsRL / off-dynamics-rl
  ☆48Updated 7 months ago
• Facebear-ljx / RGM
  The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)
  ☆16Updated 2 years ago
• t6-thu / H2O
  [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
  ☆56Updated last year
• YangRui2015 / RORL
  Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"
  ☆19Updated 2 years ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆35Updated 2 years ago
• LAMDA-RL / PRDC
  Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…
  ☆19Updated 8 months ago
• jhejna / inverse-preference-learning
  ☆41Updated 2 years ago
• shlee94 / Off2OnRL
  ☆56Updated 2 years ago
• pcchenxi / LAPO-offlienRL
  ☆15Updated 2 years ago
• t6-thu / H2Oplus
  [ICRA 2025] H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps.
  ☆11Updated 3 months ago
• ltlhuuu / A2PR
  [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…
  ☆29Updated last year
• huxiao09 / QPA
  ☆12Updated 9 months ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆144Updated last year
• ldcq / ldcq
  ☆35Updated 2 years ago
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆95Updated 10 months ago
• maoliyuan / ODICE-Pytorch
  official implementation of ODICE
  ☆18Updated last year
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆57Updated 2 years ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated 3 months ago
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆19Updated last year
• secury / optidice
  OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
  ☆15Updated last year
• lafmdp / HIDIL
  [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"
  ☆12Updated 3 years ago
• ryanxhr / IVR
  [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…
  ☆44Updated last year
• lilucse / SparseNetwork4DRL
  [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
  ☆18Updated last month