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Hierarchical Reinforcement Learning

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/smartan117/sgim-yumi-simu

공식 코드

Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy

https://github.com/AboudyKreidieh/h-baselines

공식 코드

Inter-Level Cooperation in Hierarchical Reinforcement Learning

https://github.com/Arashkhajooei/Meta-Learning-Integration-in-Hierarchical-Reinforcement-Learning-for-Advanced-Task-Complexity

공식 코드

Meta-Learning Integration in Hierarchical Reinforcement Learning for Advanced Task Complexity

https://github.com/CoAxLab/azad

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Combining imagination and heuristics to learn strategies that generalize

https://github.com/GPaolo/TAG_Framework

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TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning

https://github.com/HIRO-group/HA2

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Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions

https://github.com/Humanoid-SkillBlender/SkillBlender

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SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending

https://github.com/IBM/parl_agents

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Hierarchical Reinforcement Learning with AI Planning Models

https://github.com/JinyuZ1996/RL-ISN

공식 코드

Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation

https://github.com/KotoHanon/LOCOCO

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Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration

https://github.com/Learning4Optimization-HUST/H-TSP

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H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem

https://github.com/LittleYUYU/Interactive-Semantic-Parsing

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Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning

https://github.com/MatNLP/KEHRL

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KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning

https://github.com/PKU-AI-Edge/FEN

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Learning Fairness in Multi-Agent Systems

https://github.com/RobertTLange/action-grammars-hrl

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Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions

https://github.com/TakaOsa/adInfoHRL

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Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization

https://github.com/Unlimited-Research-Cooperative/Bio-Silicon-Synergetic-Intelligence-System

공식 코드

AI-Driven Physics-Informed Bio-Silicon Intelligence System: Integrating Hybrid Systems, Biocomputing, Neural Networks, and Machine Learning, for Advanced Neurotechnology

https://github.com/VittorioGiammarino/Online_BWforHIL

공식 코드

Online Baum-Welch algorithm for Hierarchical Imitation Learning

https://github.com/Wu-duanduan/Swarm_confrontation_HRL

공식 코드

Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty

https://github.com/Xin-Ye-1/HRL-GRG

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Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph

https://github.com/Yi-Shi94/AMDM

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Interactive Character Control with Auto-Regressive Motion Diffusion Models

https://github.com/YuhangSong/DEHRL

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Diversity-Driven Extensible Hierarchical Reinforcement Learning

https://github.com/ZONG0004/MacroHFT

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MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading

https://github.com/ZhiyuZ-research/Hieararchical-IL

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Provable Hierarchical Imitation Learning via EM

https://github.com/aair-lab/chirp

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Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning

https://github.com/alexfanw/cochpl

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Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation

https://github.com/andreicnica/hrl_attention

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The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning

https://github.com/andrew-j-levy/Hierarchical-Actor-Critc-HAC-

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Learning Multi-Level Hierarchies with Hindsight

https://github.com/arushi12130/SafeOptionCritic

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Safe Option-Critic: Learning Safety in the Option-Critic Architecture

https://github.com/awesomericky/multiple-gait-controller-for-quadruped-robot

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Learning multiple gaits of quadruped robot using hierarchical reinforcement learning

https://github.com/bmanczak/runPowerNetworks

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Hierarchical Reinforcement Learning for Power Network Topology Control

https://github.com/chancefocus/trials

공식 코드

Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning

https://github.com/cog-isa/forger

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Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations

https://github.com/cosynus-lix/STAR

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Reconciling Spatial and Temporal Abstractions for Goal Representation

https://github.com/cuhk-aim-group/star-rl

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Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution

https://github.com/d-rothen/bmhrl

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METEOR Guided Divergence for Video Captioning

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