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Hierarchical Reinforcement Learning

32 papers with code ยท Methodology

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GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning

24 May 2020

A chatbot that converses like a human should be goal-oriented (i. e., be purposeful in conversation), which is beyond language generation.

CHATBOT HIERARCHICAL REINFORCEMENT LEARNING TEXT GENERATION

Curious Hierarchical Actor-Critic Reinforcement Learning

7 May 2020

Hierarchical abstraction and curiosity-driven exploration are two common paradigms in current reinforcement learning approaches to break down difficult problems into a sequence of simpler ones and to overcome reward sparsity.

HIERARCHICAL REINFORCEMENT LEARNING

TAG : Type Auxiliary Guiding for Code Comment Generation

6 May 2020

Existing leading code comment generation approaches with the structure-to-sequence framework ignores the type information of the interpretation of the code, e. g., operator, string, etc.

HIERARCHICAL REINFORCEMENT LEARNING

Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning

13 Apr 2020

Recent adaptations of the toolkit either utilize Abstract Task Representations (ATRs) to solve Non-Observable (NO) tasks or storage of past input features to solve Partially-Observable (PO) tasks, but not both.

HIERARCHICAL REINFORCEMENT LEARNING TRANSFER LEARNING

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks

14 Feb 2020

Hierarchical Reinforcement Learning (HRL) has held the promise to enhance the capabilities of RL agents via operation on different levels of temporal abstraction.

CONTINUOUS CONTROL DECISION MAKING HIERARCHICAL REINFORCEMENT LEARNING

Temporal-adaptive Hierarchical Reinforcement Learning

6 Feb 2020

Hierarchical reinforcement learning (HRL) helps address large-scale and sparse reward issues in reinforcement learning.

ATARI GAMES HIERARCHICAL REINFORCEMENT LEARNING

Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning

12 Jan 2020

For each subtask, the manager is trained to set a subgoal only by a task-level binary label, which requires much fewer labels than conventional approaches.

HIERARCHICAL REINFORCEMENT LEARNING SUPERVISED VIDEO SUMMARIZATION

Hierarchical Reinforcement Learning as a Model of Human Task Interleaving

4 Jan 2020

The results support hierarchical RL as a plausible model of task interleaving.

HIERARCHICAL REINFORCEMENT LEARNING

Sparse Skill Coding: Learning Behavioral Hierarchies with Sparse Codes

ICLR 2020

Many approaches to hierarchical reinforcement learning aim to identify sub-goal structure in tasks.

HIERARCHICAL REINFORCEMENT LEARNING

Sub-policy Adaptation for Hierarchical Reinforcement Learning

ICLR 2020

Hierarchical reinforcement learning is a promising approach to tackle long-horizon decision-making problems with sparse rewards.

DECISION MAKING HIERARCHICAL REINFORCEMENT LEARNING