Current version of system Cmodels is 3.86.1. Starting version 3.81 of Cmodels, the system supports incremental answer set solving. (One may add constraints to a program on the fly.) The interface for ...

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...

Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is ...

TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots. Todd Hester and Peter Stone. Machine Learning, 90(3):385–429, 2013.

Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. Nate Kohl and Peter Stone.

Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. Matthew E. Taylor, Peter Stone, and Yaxin Liu. Journal of Machine Learning Research, 8(1):2125–2167, 2007.

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 ...

In reinforcement learning (RL), a reward function that aligns exactly with a task's true performance metric is often sparse. For example, a true task metric might encode a reward of 1 upon success and ...

Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. Jinsoo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, and Peter Stone. In Proceedings of the 2023 IEEE ...

David Pardoe and Peter Stone.

Classically, imitation learning algorithms have been developed for idealized situations, e.g., the demonstrations are often required to be collected in the exact same environment and usually include ...