activity
20142024
most citedN2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning

116 citations · 458 across the 20 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CV2019

PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

Nicholas Rhinehart, Rowan McAllister, Kris Kitani +1

For autonomous vehicles (AVs) to behave appropriately on roads populated by human-driven vehicles, they must be able to reason about the uncertain intentions and decisions of other…

cs.CV2019★ 5 cited

Generative Hybrid Representations for Activity Forecasting with No-Regret Learning

Jiaqi Guan, Ye Yuan, Kris M. Kitani +1

Automatically reasoning about future human behaviors is a difficult problem but has significant practical applications to assistive systems. Part of this difficulty stems from lear…