NIPS Proceedings
^{β}
Books
Andrew G. Barto
17 Papers
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
(2011)
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
(2010)
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
(2009)
Skill Characterization Based on Betweenness
(2008)
Intrinsically Motivated Reinforcement Learning
(2004)
The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay
(2001)
Automated State Abstraction for Options using the U-Tree Algorithm
(2000)
Learning Instance-Independent Value Functions to Enhance Local Search
(1998)
Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments
(1997)
Local Bandit Approximation for Optimal Learning Problems
(1996)
Reinforcement Learning for Mixed Open-loop and Closed-loop Control
(1996)
Text-Based Information Retrieval Using Exponentiated Gradient Descent
(1996)
A Predictive Switching Model of Cerebellar Movement Control
(1995)
Improving Elevator Performance Using Reinforcement Learning
(1995)
An Actor/Critic Algorithm that is Equivalent to Q-Learning
(1994)
Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms
(1993)
Robust Reinforcement Learning in Motion Planning
(1993)