Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-642-10439-8_35
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Berlin Heidelberg

Related search

Reinforcement Learning for Decentralized Stochastic Control

2019English

Dynamic Colocation Policies With Reinforcement Learning

Transactions on Architecture and Code Optimization
HardwareInformation SystemsArchitectureSoftware
2020English

Pruning Dominated Policies in Multiobjective Pareto Q-Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

Reinforcement Learning With a Gaussian Mixture Model

2010English

Transferring Evolved Reservoir Features in Reinforcement Learning Tasks

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

On-Line Evolutionary Computation for Reinforcement Learning in Stochastic Domains

2006English

Light-Weight Reinforcement Learning With Function Approximation for Real-Life Control Tasks

2008English

Multi-Agent Inverse Reinforcement Learning for Certain General-Sum Stochastic Games

Journal of Artificial Intelligence Research
Artificial Intelligence
2019English

Two Metaheuristics for Multiobjective Stochastic Combinatorial Optimization

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy