Jinjiarui / hrl-papers
A collection of research and survey papers of hierarchical reinforcement learning (HRL).
☆45Updated 5 years ago
Alternatives and similar repositories for hrl-papers
Users that are interested in hrl-papers are comparing it to the libraries listed below
Sorting:
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- ☆29Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 9 months ago
- ☆129Updated 9 months ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 4 months ago
- ☆53Updated last year
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆121Updated 3 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆86Updated 4 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- ☆61Updated 6 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- ☆195Updated 2 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆126Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- ☆42Updated 3 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated last year
- Paper Collection for Imitation Learning in RL.☆146Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆167Updated 6 months ago
- Conservative Q Learning on top of SAC☆130Updated 2 years ago
- RLA is a tool for managing your RL experiments automatically☆72Updated 2 years ago
- ☆111Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆102Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆178Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆31Updated 5 years ago