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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://github.com/robbycostales/hal

공식 코드

Possibility Before Utility: Learning And Using Hierarchical Affordances

https://github.com/roythuly/brhpo

공식 코드

Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies

https://github.com/shashacks/irl_transition

공식 코드

Training Transition Policies via Distribution Matching for Complex Tasks

https://github.com/shayegano/CASL

공식 코드

Crossmodal Attentive Skill Learner

https://github.com/sisl/MPHRL

공식 코드

Model Primitive Hierarchical Lifelong Reinforcement Learning

https://github.com/siyuanlee/hess

공식 코드

Active Hierarchical Exploration with Stable Subgoal Representation Learning

https://github.com/srsohn/subtask-graph-execution

공식 코드

Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies

https://github.com/tensorflow/models

공식 코드

Data-Efficient Hierarchical Reinforcement Learning

https://github.com/tmlr-group/econ

공식 코드

From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium

https://github.com/truthless11/HRL-RE

공식 코드

A Hierarchical Framework for Relation Extraction with Reinforcement Learning

https://github.com/trzhang0116/HRAC

공식 코드

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning

https://github.com/utsavz/piper

공식 코드

PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling

https://github.com/vi2enne/hlps

공식 코드

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning

https://github.com/yang-xy20/mage-x

공식 코드

Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation

https://github.com/yunqiuxu/h-kga

공식 코드

Generalization in Text-based Games via Hierarchical Reinforcement Learning

https://gitlab.com/marvl-hipt/hipt

공식 코드

A Hierarchical Approach to Population Training for Human-AI Collaboration

https://github.com/4rChon/NL-FuN

FeUdal Networks for Hierarchical Reinforcement Learning

https://github.com/ACampero/hsp

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning

https://github.com/Aedelon/fair-efficient_network

Learning Fairness in Multi-Agent Systems

https://github.com/AlexZhaoZt/Temporal_Leap_HRL

Data-Efficient Hierarchical Reinforcement Learning

https://github.com/AndrewSukhobok95/DL_GraphEntity_project

A Hierarchical Framework for Relation Extraction with Reinforcement Learning

https://github.com/ArayCHN/HAAR-A-Hierarchical-RL-Algorithm

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

https://github.com/BrutishGuy/ContinuumArmedBandits

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

https://github.com/ChengshuLi/HRL4IN

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

https://github.com/GeminiLight/virne

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

https://github.com/JayLohokare/taxi-v2

Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition

https://github.com/JohnYKiyo/coco_trial

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

https://github.com/Laiye-Tech/HDNO

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

https://github.com/Somya-Patra/Shell_ai

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

https://github.com/VittorioGiammarino/Learning-from-humans-combining-imitation-and-deep-on-policy-reinforcement-learning-to-accomplish-su

Online Baum-Welch algorithm for Hierarchical Imitation Learning

https://github.com/bayesian-optimization/bayesianoptimization

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

https://github.com/borea17/efficient_rl

Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition

https://github.com/brandontrabucco/efficient-hrl

Data-Efficient Hierarchical Reinforcement Learning

https://github.com/chariff/GPro

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

https://github.com/danifuertes/top_transformer

Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning

https://github.com/danijar/director

Deep Hierarchical Planning from Pixels

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