2.3k citations · 4.6k across the 26 of their papers we have counts for
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Learning Robust Dialog Policies in Noisy Environments
Maryam Fazel-Zarandi, Shang-Wen Li, Jin Cao +4
Modern virtual personal assistants provide a convenient interface for completing daily tasks via voice commands. An important consideration for these assistants is the ability to r…
Bayesian Policy Gradients via Alpha Divergence Dropout Inference
Peter Henderson, Thang Doan, Riashat Islam +1
Policy gradient methods have had great success in solving continuous control tasks, yet the stochastic nature of such problems makes deterministic value estimation difficult. We pr…
Ethical Challenges in Data-Driven Dialogue Systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier +4
The use of dialogue systems as a medium for human-machine interaction is an increasingly prevalent paradigm. A growing number of dialogue systems use conversation strategies that a…
Underwater Multi-Robot Convoying using Visual Tracking by Detection
Florian Shkurti, Wei-Di Chang, Peter Henderson +7
We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following in unstructured 3-D environments. Our method…
Cost Adaptation for Robust Decentralized Swarm Behaviour
Peter Henderson, Matthew Vertescher, David Meger +1
Decentralized receding horizon control (D-RHC) provides a mechanism for coordination in multi-agent settings without a centralized command center. However, combining a set of diffe…
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon +3
Reinforcement learning has shown promise in learning policies that can solve complex problems. However, manually specifying a good reward function can be difficult, especially for…