CFP: 2016 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL'16)

[madalina.drugan]

2016 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL'16)
adprl16.net

 

Adaptive dynamic programming (ADP) and reinforcement learning (RL) are two related paradigms for solving decision making problems where a performance index must be optimized over time. ADP and RL methods are enjoying a growing popularity and success in applications, fueled by their ability to deal with general and complex problems, including features such as uncertainty, stochastic effects, and nonlinearity.

 

The goal of the IEEE Symposium on ADPRL is to provide an outlet and a forum for interaction between researchers and practitioners in ADP and RL, in which the clear parallels between the two fields are brought together and exploited. We equally welcome contributions from control theory, computer science, operations research, computational intelligence, neuroscience, as well as other novel perspectives on ADPRL. We host original papers on methods, analysis, applications, and overviews of ADPRL. We are interested in applications from engineering, artificial intelligence, economics, medicine, and other relevant fields.

Topics

Specific topics of interest include, but are not limited to:

-- Convergence and performance analysis

-- RL and ADP-based control

-- Function approximation and value function representation

-- Complexity issues in RL and ADP

-- Policy gradient and actor-critic methods

-- Direct policy search

-- Planning and receding-horizon methods

-- Monte-Carlo tree search and other Monte-Carlo methods

-- Adaptive feature discovery

-- Parsimoneous function representation

-- Statistical learning and PAC bounds for RL

-- Learning rules and architectures

-- Bandit techniques for exploration

-- Bayesian RL and exploration

-- Finite-sample analysis

-- Partially observable Markov decision processes

-- Neuroscience and biologically inspired control

-- ADP and RL for multiplayer games and multiagent systems

-- Distributed intelligent systems

-- Multi-objective optimization for ADPRL

-- Transfer learning

-- Applications of ADP and RL

 

Important dates:

Paper Submission: July 18, 2016

Notifications to Authors: September 12, 2016

Final Submission: October 10, 2016

Early registration: October 10, 2016

Conference Dates: December 6 - 9, 2016

 

Organisers

Dongbin Zhao, University of Chinese Academy of Sciences, China. dongbi...@ia.ac.cn

Madalina Drugan, Technical University of Eindhoven, Netherlands. m.m.d...@tue.nl

[Madalina Drugan]