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cs.AI2014
Solving Games with Functional Regret Estimation
Kevin Waugh, Dustin Morrill, J. Andrew Bagnell +1
We propose a novel online learning method for minimizing regret in large extensive-form games. The approach learns a function approximator online to estimate the regret for choosin…
cs.LG2014★ 18 cited
Domain-Independent Optimistic Initialization for Reinforcement Learning
Marlos C. Machado, Sriram Srinivasan, Michael Bowling
In Reinforcement Learning (RL), it is common to use optimistic initialization of value functions to encourage exploration. However, such an approach generally depends on the domain…