6 citations · 8 across the 9 of their papers we have counts for
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cs.LG2022★ 1 cited
Structural Similarity for Improved Transfer in Reinforcement Learning
C. Chace Ashcraft, Benjamin Stoler, Chigozie Ewulum +1
Transfer learning is an increasingly common approach for developing performant RL agents. However, it is not well understood how to define the relationship between the source and t…
cs.LG2021★ 1 cited
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Edward W. Staley, Chace Ashcraft, Benjamin Stoler +4
Most approaches to deep reinforcement learning (DRL) attempt to solve a single task at a time. As a result, most existing research benchmarks consist of individual games or suites…