3 citations · 3 across the 3 of their papers we have counts for
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cs.LG2025
Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
Rushiv Arora
Multi-task reinforcement learning often relies on task metadata -- such as brief natural-language descriptions -- to guide behavior across diverse objectives. We present Lexical Po…
cs.LG2023
On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks
Peter DelMastro, Rushiv Arora, Edward Rietman +1
Recurrent Neural Networks (RNNs) have shown great success in modeling time-dependent patterns, but there is limited research on their learned representations of latent temporal fea…
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…