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Andrew Barto

Known as: Andrew G. Barto, Barto, Barto, Andrew G. 
Andrew Barto is a professor of computer science at University of Massachusetts Amherst, and chair of the department since January 2007. His main… 
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Related topics

Related topics

4 relations
Computer scienceConstructing skill treesReinforcement learningSkill chaining

Papers overview

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2015
2015
Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes
We introduce a novel framework for option discovery and learning transfer in complex domains that are represented as object… 
Highly Cited
2012
Highly Cited
2012
Linear Off-Policy Actor-Critic
This paper presents the first actor-critic algorithm for off-policy reinforcement learning. Our algorithm is online and… 
Highly Cited
2005
Highly Cited
2005
Lazy Approximation for Solving Continuous Finite-Horizon MDPs
Solving Markov decision processes (MDPs) with continuous state spaces is a challenge due to, among other problems. the well-known… 
Highly Cited
2000
Highly Cited
2000
Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning
Highly Cited
1998
Highly Cited
1998
Solving Large POMDPs using Real Time Dynamic Programming
Partially Observable Markov Decision Processes (pomdps) are general models of sequential decision problems in which both actions… 
Highly Cited
1998
Highly Cited
1998
An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function
We present an analysis of actor/critic algorithms, in which the actor updates its policy using eligibility traces of the policy… 
Highly Cited
1995
Highly Cited
1995
Adaptive critic designs: A case study for neurocontrol
Highly Cited
1993
Highly Cited
1993
Learning to Solve Markovian Decision Processes
This dissertation is about building learning control architectures for agents embedded in finite, stationary, and Markovian… 
Highly Cited
1989
Highly Cited
1989
Generalization and Scaling in Reinforcement Learning
In associative reinforcement learning, an environment generates input vectors, a learning system generates possible output… 
Highly Cited
1971
Highly Cited
1971
Aadaptive lactate dehydrogenase variation in the crested blenny, Anoplarchus1
GEL electrophoresis of proteins has demonstrated much heterozygosity in populations (e.g. Harris, 1966; Lewontin and Hubby, 1966… 
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