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    20 repositories

    • Diff4RLSurvey

      Public
      This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
      Apache License 2.0
      •21•470•0•0•Updated Nov 29, 2024Nov 29, 2024

    • GCRL-Collection

      Public
      This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmark environments and conclude a series of research works for goal-conditioned reinforcement learning (GCRL).
      5•114•1•0•Updated May 10, 2023May 10, 2023

    • MapGo

      Public
      TensorFlow implementation of the IJCAI 2021 paper MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
      Python
      •
      MIT License
      •1•6•0•1•Updated Mar 24, 2023Mar 24, 2023

    • bmpo

      Public
      Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
      Python
      •
      MIT License
      •0•23•0•1•Updated Mar 24, 2023Mar 24, 2023

    • DePO

      Public
      Code for ICML 2022 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization"
      Python
      •3•7•0•0•Updated Nov 13, 2022Nov 13, 2022

    • COIL

      Public
      Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
      Python
      •
      MIT License
      •1•17•0•0•Updated Oct 21, 2022Oct 21, 2022

    • DePO_NGSIM

      Public
      Code for ICML 2021 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization" on NGSIM dataset
      Python
      •2•6•0•0•Updated May 31, 2022May 31, 2022

    • QSnakeGame

      Public
      Snake game RL environment for Ubiquant competition 2022.
      Python
      •
      MIT License
      •1•21•0•0•Updated May 23, 2022May 23, 2022

    • Imitation-Learning-Paper-Lists

      Public
      Paper Collection for Imitation Learning in RL.
      24•136•0•0•Updated Mar 17, 2022Mar 17, 2022

    • AORPO

      Public
      Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.
      Python
      •2•19•1•0•Updated Mar 10, 2022Mar 10, 2022

    • Batch-Offline--RL-Paper-Lists

      Public
      Paper Collection for Batch RL with brief introductions.
      13•85•0•0•Updated Feb 26, 2022Feb 26, 2022

    • RL2S

      Public
      Implementation of the ECML-PKDD 2021 paper "Learning to Build High-fidelity and Robust Environment Models"
      Python
      •0•1•0•0•Updated Jan 21, 2022Jan 21, 2022

    • autombpo

      Public
      Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>
      Python
      •0•12•0•0•Updated Nov 16, 2021Nov 16, 2021

    • malib

      Public
      A parallel framework for population-based multi-agent reinforcement learning.
      Python
      •
      MIT License
      •61•0•0•0•Updated Nov 6, 2021Nov 6, 2021

    • EBIL-torch

      Public
      Pytorch Implementation of AAMAS 2021 paper <Energy-Based Imitation Learning>
      Python
      •
      MIT License
      •1•10•1•0•Updated Oct 8, 2021Oct 8, 2021

    • Baseline_Pool

      Public
      A pool that contains previous baseline results along with its plotters run by us.
      Python
      •0•0•0•0•Updated Jul 2, 2021Jul 2, 2021

    • CoDAIL

      Public
      Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
      machine-learningimitation-learningmulti-agent-reinforcement-learning
      Python
      •
      Apache License 2.0
      •1•18•0•0•Updated Jun 17, 2021Jun 17, 2021

    • Reinforcement-Learning-Platforms

      Public
      Collections of powerful RL architectures with brief introductions.
      2•11•0•0•Updated Nov 20, 2020Nov 20, 2020

    • NIPS2020-useful-paper-list

      Public
      2•1•0•0•Updated Oct 8, 2020Oct 8, 2020

    • RL-Exploration-Paper-Lists

      Public
      Paper Collection of Reinforcement Learning Exploration covers Exploration of Muti-Arm-Bandit, Reinforcement Learning and Multi-agent Reinforcement Learning.
      4•34•0•0•Updated Nov 8, 2019Nov 8, 2019