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 ...

Imitation from observation (IfO) is the problem of learning directly from state-only demonstrations without having access to the demonstrator's actions.The lack of action information both ...

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 ...

If you are considering taking a CS370 course with me, please take a look at this page: CS370 Syllabus. I will accept only a very limited number of CS370 students each semester.

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

Patrick MacAlpine and Peter Stone.

Reinforcement Learning from Simultaneous Human and MDP Reward. W. Bradley Knox and Peter Stone. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), ...

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

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 ...

The right music at the right time: adaptive personalized playlists based on sequence modeling. Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone Peter Stone. Management Information Systems ...

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Characterizing Reinforcement Learning Methods through Parameterized Learning Problems. Shivaram Kalyanakrishnan and Peter Stone. Machine Learning (MLJ), 84(1--2):205–247, July 2011.