17 citations · 48 across the 12 of their papers we have counts for
12 papers
Exploring compact reinforcement-learning representations with linear regression
Thomas J. Walsh, Istvan Szita, Carlos Diuk +1
This paper presents a new algorithm for online linear regression whose efficiency guarantees satisfy the requirements of the KWIK (Knows What It Knows) framework. The algorithm imp…
Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version
Istvan Szita, Andras Lorincz
In this paper we propose an algorithm for polynomial-time reinforcement learning in factored Markov decision processes (FMDPs). The factored optimistic initial model (FOIM) algorit…
The many faces of optimism - Extended version
István Szita, András Lőrincz
The exploration-exploitation dilemma has been an intriguing and unsolved problem within the framework of reinforcement learning. "Optimism in the face of uncertainty" and model bui…
Online variants of the cross-entropy method
Istvan Szita, Andras Lorincz
The cross-entropy method is a simple but efficient method for global optimization. In this paper we provide two online variants of the basic CEM, together with a proof of convergen…
Factored Value Iteration Converges
Istvan Szita, Andras Lorincz
In this paper we propose a novel algorithm, factored value iteration (FVI), for the approximate solution of factored Markov decision processes (fMDPs). The traditional approximate…
Mind model seems necessary for the emergence of communication
A. Lorincz, V. Gyenes, M. Kiszlinger +1
We consider communication when there is no agreement about symbols and meanings. We treat it within the framework of reinforcement learning. We apply different reinforcement learni…