www.cs.utexas.edu3 天
Data-Efficient Policy Evaluation Through Behavior Policy Search
We consider the task of evaluating a policy for a Markov decision process (MDP).The standard unbiased technique for evaluating a policy is to deploy the policyand observe its performance. We show that ...
www.cs.utexas.edu5 天
UT Austin Villa
The UT Austin Villa@Home team competes in the RoboCup@Home Domestic Standard Platform League using the Toyota Human Support Robot. The league aims to develop domestic service robot technology and ...
www.cs.utexas.edu5 天
Machine learning predictions of recovery in bilingual post-stroke aphasia: Aligning ...
Background: Predicting treated language improvement (TLI) and transfer to the untreated language (cross-language generalization, CLG) after speech-language therapy in bilingual individuals with ...
www.cs.utexas.edu9 天
Overlapping Layered Learning
Patrick MacAlpine and Peter Stone.
www.cs.utexas.edu9 天
Transfer Learning for Reinforcement Learning Domains: A Survey
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
www.cs.utexas.edu9 天
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. Kurt Dresner and Peter Stone. In The Third International Joint Conference on Autonomous Agents and Multiagent Systems ...
www.cs.utexas.edu9 天
TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots
TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots. Todd Hester and Peter Stone. Machine Learning, 90(3):385–429, 2013.
www.cs.utexas.edu9 天
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration
Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration. Tobias Jung and Peter Stone. @InProceedings{ECML10-jung, author = "Tobias Jung and Peter Stone", title = ...
www.cs.utexas.edu9 天
To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams
To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams. Peter Stone and Sarit Kraus. In The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), ...
www.cs.utexas.edu9 天
Design and Optimization of an Omnidirectional Humanoid Walk:A Winning Approach at the ...
Design and Optimization of an Omnidirectional Humanoid Walk:A Winning Approach at the RoboCup 2011 3D Simulation Competition. Patrick MacAlpine, Samuel Barrett, Daniel Urieli, Victor Vu, and Peter ...
www.cs.utexas.edu9 天
Multiagent Systems: A survey from a machine learning perspective
Multiagent Systems: A survey from a machine learning perspective. Peter Stone and Manuela Veloso. Autonomous Robots, 8(3):345–383, July 2000. @Article(MASsurvey ...
www.cs.utexas.edu9 天
Deep Reinforcement Learning in Parameterized Action Space
Recent work has shown that deep neural networks are capable ofapproximating both value functions and policies in reinforcementlearning domains featuring continuous state and actionspaces. However, to ...