Logan-lxw

Logan-lxw's Stars

• JasonMa2016/SMODICE

  Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML 2022)

  Language:Python253

• KAIST-AILab/imitation-dice

  Language:Python176

• jhejna/cpl

  Code for Contrastive Preference Learning (CPL)

  Language:Python15213

• dmksjfl/SEABO

  Official code for ICLR 2024 paper, SEABO: A Simple Search-Based Method for Offline Imitation Learning

  Language:Python10

• ott-jax/ott

  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

  Language:Python52080

• ethanluoyc/optimal_transport_reward

  Language:Python134

• polixir/morec

  Language:Python72

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.4k1.9k

• Zzl35/flow-to-better

  Language:Python171

• yihaosun1124/OfflineRL-Kit

  An elegant PyTorch offline reinforcement learning library for researchers.

  Language:Python27433

• FelipeNuti/diffusion-relative-rewards

  Codebase for Extracting Reward Functions from Diffusion Models

  Language:Python123

• HxLyn3/Diaster

  Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward

  Language:Python5

• Elegycloud/clash-for-linux-backup

  基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core

  Language:Shell2.4k985

• csmile-1006/PreferenceTransformer

  Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)

  Language:Python15017

• G0K0URURI/CROP

  Code for paper "CROP: Conservative Reward for Model-based Offline Policy Optimization".

  Language:Python7

• junming-yang/mopo

  Model-based Offline Policy Optimization re-implement all by pytorch

  Language:Python276

• aimhubio/aim

  Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

  Language:Python5.2k320

• ZhengyaoJiang/latentplan

  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.

  Language:Python9411

• ChenDRAG/SfBC

  Codes accompanying the paper "Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling" (ICLR 2023) https://arxiv.org/abs/2209.14548

  Language:Python425

• Zhendong-Wang/Diffusion-Policies-for-Offline-RL

  Language:Python26636

• seohongpark/HIQL

  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)

  Language:Python767

• jannerm/diffuser

  Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

  Language:Python868135

• gckor/Guider

  Language:Python1

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.5k426

• ademiadeniji/irm

  Intrinsic Reward Matching (IRM) implementation (from Adeniji and Xie et al 2022)

  Language:Python437

• Farama-Foundation/D4RL

  A collection of reference environments for offline reinforcement learning

  Language:Python1.3k284

• ldcq/ldcq

  Language:Python263

• PKU-Alignment/omnisafe

  JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

  Language:Python931132

• liuzuxin/DSRL

  🔥 Datasets and env wrappers for offline safe reinforcement learning

  Language:Python724

• liuzuxin/FSRL

  🚀 A fast safe reinforcement learning library in PyTorch

  Language:Python16026