apexrl Goto Github PK

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>

baseline_pool

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

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"

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

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"

ebil-torch

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

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.

malib

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

mapgo

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

nips2020-useful-paper-list

qsnakegame

Snake game RL environment for Ubiquant competition 2022.

reinforcement-learning-platforms

Collections of powerful RL architectures 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.

rl2s

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