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"

Imitation-Learning-Paper-Lists

Paper Collection for Imitation Learning in RL.

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).

Batch-Offline--RL-Paper-Lists

Paper Collection for Batch RL with brief introductions.

RL-Exploration-Paper-Lists

Paper Collection of Reinforcement Learning Exploration covers Exploration of Muti-Arm-Bandit, Reinforcement Learning and Multi-agent Reinforcement Learning.

bmpo

Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>

QSnakeGame

Snake game RL environment for Ubiquant competition 2022.

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"

AORPO

Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.

autombpo

Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>

EBIL-torch

Pytorch Implementation of AAMAS 2021 paper <Energy-Based Imitation Learning>

Reinforcement-Learning-Platforms

Collections of powerful RL architectures with brief introductions.

DePO

Code for ICML 2022 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization"

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

MapGo

TensorFlow implementation of the IJCAI 2021 paper MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

NIPS2020-useful-paper-list

RL2S

Implementation of the ECML-PKDD 2021 paper "Learning to Build High-fidelity and Robust Environment Models"

Baseline_Pool

A pool that contains previous baseline results along with its plotters run by us.

malib

A parallel framework for population-based multi-agent reinforcement learning.