ApexRL
RL group @ ApexLab in SJTU. Focusing on reinforcement learning, imitation learning and robotics.
Shanghai Jiao Tong University, China
Pinned Repositories
AORPO
Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.
Batch-Offline--RL-Paper-Lists
Paper Collection for Batch RL with brief introductions.
bmpo
Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
CoDAIL
Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
COIL
Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
Diff4RLSurvey
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
GCRL-Collection
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).
Imitation-Learning-Paper-Lists
Paper Collection for Imitation Learning in RL.
QSnakeGame
Snake game RL environment for Ubiquant competition 2022.
RL-Exploration-Paper-Lists
Paper Collection of Reinforcement Learning Exploration covers Exploration of Muti-Arm-Bandit, Reinforcement Learning and Multi-agent Reinforcement Learning.
ApexRL's Repositories
apexrl/Diff4RLSurvey
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
apexrl/Imitation-Learning-Paper-Lists
Paper Collection for Imitation Learning in RL.
apexrl/GCRL-Collection
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).
apexrl/Batch-Offline--RL-Paper-Lists
Paper Collection for Batch RL with brief introductions.
apexrl/RL-Exploration-Paper-Lists
Paper Collection of Reinforcement Learning Exploration covers Exploration of Muti-Arm-Bandit, Reinforcement Learning and Multi-agent Reinforcement Learning.
apexrl/bmpo
Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>
apexrl/QSnakeGame
Snake game RL environment for Ubiquant competition 2022.
apexrl/AORPO
Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.
apexrl/CoDAIL
Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
apexrl/COIL
Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
apexrl/autombpo
Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>
apexrl/Reinforcement-Learning-Platforms
Collections of powerful RL architectures with brief introductions.
apexrl/EBIL-torch
Pytorch Implementation of AAMAS 2021 paper <Energy-Based Imitation Learning>
apexrl/DePO
Code for ICML 2022 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization"
apexrl/DePO_NGSIM
Code for ICML 2021 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization" on NGSIM dataset
apexrl/MapGo
TensorFlow implementation of the IJCAI 2021 paper MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
apexrl/NIPS2020-useful-paper-list
apexrl/RL2S
Implementation of the ECML-PKDD 2021 paper "Learning to Build High-fidelity and Robust Environment Models"
apexrl/Baseline_Pool
A pool that contains previous baseline results along with its plotters run by us.
apexrl/malib
A parallel framework for population-based multi-agent reinforcement learning.