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cs.LG2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation
Julian Alverio, Boris Katz, Andrei Barbu
Curricula for goal-conditioned reinforcement learning agents typically rely on poor estimates of the agent's epistemic uncertainty or fail to consider the agents' epistemic uncerta…
cs.AI2022
Developing a Series of AI Challenges for the United States Department of the Air Force
Vijay Gadepally, Gregory Angelides, Andrei Barbu +39
Through a series of federal initiatives and orders, the U.S. Government has been making a concerted effort to ensure American leadership in AI. These broad strategy documents have…