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Hierarchical Reinforcement Learning

32 papers with code · Methodology

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Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning

29 Apr 2020nnbay/MedicalChatbot-HRL

In this paper, we focus on automatic disease diagnosis with reinforcement learning (RL) methods in task-oriented dialogues setting.

HIERARCHICAL REINFORCEMENT LEARNING

4
29 Apr 2020

Option Discovery using Deep Skill Chaining

ICLR 2020 deep-skill-chaining/deep-skill-chaining

Autonomously discovering temporally extended actions, or skills, is a longstanding goal of hierarchical reinforcement learning.

CONTINUOUS CONTROL HIERARCHICAL REINFORCEMENT LEARNING

5
01 Jan 2020

Inter-Level Cooperation in Hierarchical Reinforcement Learning

5 Dec 2019AboudyKreidieh/h-baselines

This article presents a novel algorithm for promoting cooperation between internal actors in a goal-conditioned hierarchical reinforcement learning (HRL) policy.

HIERARCHICAL REINFORCEMENT LEARNING

48
05 Dec 2019

Learning Fairness in Multi-Agent Systems

NeurIPS 2019 PKU-AI-Edge/FEN

Fairness is essential for human society, contributing to stability and productivity.

HIERARCHICAL REINFORCEMENT LEARNING

26
01 Dec 2019

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

NeurIPS 2019 ArayCHN/HAAR-A-Hierarchical-RL-Algorithm

In addition, we also theoretically prove that optimizing low-level skills with this auxiliary reward will increase the task return for the joint policy.

HIERARCHICAL REINFORCEMENT LEARNING

5
01 Dec 2019

Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning

12 Nov 2019qiang-ma/graph-pointer-network

Furthermore, to approximate solutions to constrained combinatorial optimization problems such as the TSP with time windows, we train hierarchical GPNs (HGPNs) using RL, which learns a hierarchical policy to find an optimal city permutation under constraints.

COMBINATORIAL OPTIMIZATION GRAPH EMBEDDING HIERARCHICAL REINFORCEMENT LEARNING TRAVELING SALESMAN PROBLEM

12
12 Nov 2019

Learning Fairness in Multi-Agent Systems

NeurIPS 2019 PKU-AI-Edge/FEN

Fairness is essential for human society, contributing to stability and productivity.

HIERARCHICAL REINFORCEMENT LEARNING

26
31 Oct 2019

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

24 Oct 2019ChengshuLi/HRL4IN

Different from other HRL solutions, HRL4IN handles the heterogeneous nature of the Interactive Navigation task by creating subgoals in different spaces in different phases of the task.

HIERARCHICAL REINFORCEMENT LEARNING

3
24 Oct 2019

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

NeurIPS 2019 ArayCHN/HAAR-A-Hierarchical-RL-Algorithm

In addition, we also theoretically prove that optimizing low-level skills with this auxiliary reward will increase the task return for the joint policy.

HIERARCHICAL REINFORCEMENT LEARNING

5
10 Oct 2019

Hierarchical Reinforcement Learning for Open-Domain Dialog

17 Sep 2019natashamjaques/neural_chat

Open-domain dialog generation is a challenging problem; maximum likelihood training can lead to repetitive outputs, models have difficulty tracking long-term conversational goals, and training on standard movie or online datasets may lead to the generation of inappropriate, biased, or offensive text.

HIERARCHICAL REINFORCEMENT LEARNING

106
17 Sep 2019