360 citations · 2.7k across the 150 of their papers we have counts for
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cs.LG2014★ 3 cited
Practical Kernel-Based Reinforcement Learning
André M. S. Barreto, Doina Precup, Joelle Pineau
Kernel-based reinforcement learning (KBRL) stands out among reinforcement learning algorithms for its strong theoretical guarantees. By casting the learning problem as a local kern…
cs.LG2014★ 3 cited
Classification-based Approximate Policy Iteration: Experiments and Extended Discussions
Amir-massoud Farahmand, Doina Precup, André M. S. Barreto +1
Tackling large approximate dynamic programming or reinforcement learning problems requires methods that can exploit regularities, or intrinsic structure, of the problem in hand. Mo…