Alternatives and similar repositories for ODICE-Pytorch:

Users that are interested in ODICE-Pytorch are comparing it to the libraries listed below

• t6-thu / xTED
  xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
  ☆15Updated 3 months ago
• pcheng2 / TSRL
  ☆15Updated last year
• ltlhuuu / A2PR
  Implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage-guided policy regulariz…
  ☆23Updated 7 months ago
• Facebear-ljx / RGM
  The official implementation of "Mind the Gap: Offline Policy Optimization for Imperfect Rewards" (ICLR2023)
  ☆17Updated last year
• Facebear-ljx / PROTO
  ☆18Updated last year
• huxiao09 / QPA
  ☆11Updated 3 months ago
• d5rlbenchmark / d5rl
  ☆24Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆98Updated 7 months ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆34Updated 2 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…
  ☆45Updated last year
• quantumiracle / Consistency_Model_For_Reinforcement_Learning
  Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
  ☆24Updated 4 months ago
• OffDynamicsRL / off-dynamics-rl
  ☆33Updated last month
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆39Updated 9 months ago
• XuGW-Kevin / DrM
  DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …
  ☆69Updated 7 months ago
• thu-ml / SRPO
  Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
  ☆42Updated 11 months ago
• AIR-DI / D2C
  D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.
  ☆23Updated last year
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆31Updated 10 months ago
• t6-thu / H2O
  [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
  ☆53Updated last year
• ldcq / ldcq
  ☆29Updated last year
• ZhengYinan-AIR / FISOR
  [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
  ☆83Updated this week
• SafeRL-Lab / Robust-Gymnasium
  🔥 Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
  ☆16Updated this week
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated 8 months ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆76Updated last month
• jhejna / inverse-preference-learning
  ☆36Updated last year
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 2 years ago
• pcchenxi / LAPO-offlienRL
  ☆14Updated last year
• Zzl35 / flow-to-better
  ☆20Updated 8 months ago
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆44Updated 10 months ago
• LucasCJYSDL / DGMs-for-Offline-Policy-Learning
  This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning…
  ☆38Updated 5 months ago