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Hierarchical Reinforcement Learning

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

https://github.com/daochenzha/autosmote

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Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning

https://github.com/dimipan/hrl-llm

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Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input

https://github.com/ehtesam3154/inhrecon

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Feature Interaction Aware Automated Data Representation Transformation

https://github.com/facebookresearch/hsd3

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Hierarchical Skills for Efficient Exploration

https://github.com/florensacc/snn4hrl

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Stochastic Neural Networks for Hierarchical Reinforcement Learning

https://github.com/fudandisc/discopen-medbox-dialodiagnosis

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Hierarchical Reinforcement Learning for Automatic Disease Diagnosis

https://github.com/geminilight/hrl-acra

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Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning

https://github.com/gen-verse/reasonflux

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ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates

https://github.com/grockious/deepsynth

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DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

https://github.com/grockious/lcrl

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Logically-Constrained Reinforcement Learning

https://github.com/guetye/dhrl-fnmr

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DHRL-FNMR: An Intelligent Multicast Routing Approach Based on Deep Hierarchical Reinforcement Learning in SDN

https://github.com/guillermoim/HRL_LMDP

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Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes

https://github.com/haoranwang-tj/gcmr_aclg_official

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Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout

https://github.com/haoranwang-tj/hg2p_aclg_official

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HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control

https://github.com/intelligent-reliable-autonomous-systems/gcrs-expert-abstractions

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Learning with Expert Abstractions for Efficient Multi-Task Continuous Control

https://github.com/jangikim2/Hierarchical_Reinforcement_Learning

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Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model

https://github.com/jesbu1/hidio

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Hierarchical Reinforcement Learning By Discovering Intrinsic Options

https://github.com/joeryjoery/hierq

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On Credit Assignment in Hierarchical Reinforcement Learning

https://github.com/junsu-kim97/higl

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Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning

https://github.com/kebaek/minigrid

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Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning

https://github.com/knowledgetechnologyuhh/goal_conditioned_RL_baselines

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Curious Hierarchical Actor-Critic Reinforcement Learning

https://github.com/martius-lab/hits

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Hierarchical Reinforcement Learning with Timed Subgoals

https://github.com/maximilianigl/rl-msol

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Context-Specific Representation Abstraction for Deep Option Learning

https://github.com/microsoft/ContextualSP

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Compositional Generalization by Learning Analytical Expressions

https://github.com/mikezhang95/HDNO

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Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System

https://github.com/mklissa/moc

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Flexible Option Learning

https://github.com/natashamjaques/neural_chat

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Hierarchical Reinforcement Learning for Open-Domain Dialog

https://github.com/nidesuipao/mentor

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MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint

https://github.com/nifunk/learning_event_triggered_control

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Learning Event-triggered Control from Data through Joint Optimization

https://github.com/nju-rl/glider

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Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning

https://github.com/nnbay/MeicalChatbot-HRL

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Hierarchical Reinforcement Learning for Automatic Disease Diagnosis

https://github.com/omikad/halfweg

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Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks

https://github.com/papercode2022/hill

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Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs

https://github.com/portal-cornell/mucode

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Multi-Turn Code Generation Through Single-Step Rewards

https://github.com/qiang-ma/graph-pointer-network

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Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning

https://github.com/qinmoelei/EarnHFT

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EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading

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