36 citations · 165 across the 31 of their papers we have counts for
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stat.ML2017★ 18 cited
Mean Actor Critic
Cameron Allen, Kavosh Asadi, Melrose Roderick +3
We propose a new algorithm, Mean Actor-Critic (MAC), for discrete-action continuous-state reinforcement learning. MAC is a policy gradient algorithm that uses the agent's explicit…
cs.AI2017★ 17 cited
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason D. Williams, Kavosh Asadi, Geoffrey Zweig
End-to-end learning of recurrent neural networks (RNNs) is an attractive solution for dialog systems; however, current techniques are data-intensive and require thousands of dialog…