36 citations · 165 across the 31 of their papers we have counts for
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cs.AI2016★ 10 cited
Sample-efficient Deep Reinforcement Learning for Dialog Control
Kavosh Asadi, Jason D. Williams
Representing a dialog policy as a recurrent neural network (RNN) is attractive because it handles partial observability, infers a latent representation of state, and can be optimiz…
cs.AI2016★ 25 cited
An Alternative Softmax Operator for Reinforcement Learning
Kavosh Asadi, Michael L. Littman
A softmax operator applied to a set of values acts somewhat like the maximization function and somewhat like an average. In sequential decision making, softmax is often used in set…