2.3k citations · 3.8k across the 95 of their papers we have counts for
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cs.GT2012★ 3 cited
Incentive Decision Processes
Sashank J. Reddi, Emma Brunskill
We consider Incentive Decision Processes, where a principal seeks to reduce its costs due to another agent's behavior, by offering incentives to the agent for alternate behavior. W…
cs.LG2012★ 22 cited
CORL: A Continuous-state Offset-dynamics Reinforcement Learner
Emma Brunskill, Bethany Leffler, Lihong Li +2
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinforc…
cs.AI2012★ 17 cited
RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains
Emma Brunskill, Stuart Russell
Despite the intractability of generic optimal partially observable Markov decision process planning, there exist important problems that have highly structured models. Previous res…