67 citations · 110 across the 10 of their papers we have counts for
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cs.LG2022★ 3 cited
Model-Based Reinforcement Learning with SINDy
Rushiv Arora, Bruno Castro da Silva, Eliot Moss
We draw on the latest advancements in the physics community to propose a novel method for discovering the governing non-linear dynamics of physical systems in reinforcement learnin…
cs.LG2022★ 4 cited
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
Lucas N. Alegre, Ana L. C. Bazzan, Bruno C. da Silva
In many real-world applications, reinforcement learning (RL) agents might have to solve multiple tasks, each one typically modeled via a reward function. If reward functions are ex…