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Julius Frost

2 papers

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papers

Publications (2)

cs.LG2022

Explaining Reinforcement Learning Policies through Counterfactual Trajectories

Julius Frost, Olivia Watkins, Eric Weiner +4

In order for humans to confidently decide where to employ RL agents for real-world tasks, a human developer must validate that the agent will perform well at test-time. Some policy…

cs.LG2022

Neural Parameter Allocation Search

Bryan A. Plummer, Nikoli Dryden, Julius Frost +2

Training neural networks requires increasing amounts of memory. Parameter sharing can reduce memory and communication costs, but existing methods assume networks have many identica…

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