Jinjiarui / hrl-papersLinks
A collection of research and survey papers of hierarchical reinforcement learning (HRL).
☆53Updated 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:
- ☆202Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆181Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆80Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- RLA is a tool for managing your RL experiments automatically☆71Updated 2 years ago
- Conservative Q Learning on top of SAC☆132Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- ☆115Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Paper Collection for Imitation Learning in RL.☆151Updated 3 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆132Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- ☆30Updated 3 years ago
- ☆133Updated last year
- A collection of offline reinforcement learning algorithms.☆207Updated last year
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated 2 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆129Updated last year
- Paper Collection for Batch RL with brief introductions.☆84Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated last year
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆58Updated 3 years ago
- Representation Learning for RL☆128Updated 2 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆152Updated 4 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆79Updated 11 months ago
- Code for "On the Utility of Learning about Humans for Human-AI Coordination"☆109Updated 2 years ago
- ☆107Updated 4 years ago
- Code for FOCAL Paper Published at ICLR 2021☆52Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆154Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆167Updated 3 years ago