Publications: Reinforcement Learning
Reinforcement Learning tasks are learning problems where the desired behavior is not known; only sparse feedback on how well the agent is doing is provided. Reinforcement Learning techniques include value-function and policy iteration methods (note that although evolutionary computation and neuroevolution can also be seen as reinforcement learning methods, they are presented separately in this area hierarchy.)
- Using Active Relocation to Aid Reinforcement Learning
[Details] [PDF]
Lilyana Mihalkova and Raymond Mooney
In Prodeedings of the 19th International FLAIRS Conference (FLAIRS-2006), 580-585, Melbourne Beach, FL, May 2006.
- Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer
[Details] [PDF]
Gregory Kuhlmann, Peter Stone, Raymond J. Mooney, and Jude W. Shavlik
In The AAAI-2004 Workshop on Supervisory Control of Learning and Adaptive Systems, July 2004.
