5 citations · 8 across the 3 of their papers we have counts for
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cs.LG2026
Policy Complexity, Reaction Time, and Bounded Rationality in Reinforcement Learning
James Wu, Chris R. Sims
Biological agents do not learn under conditions of unlimited computation. For humans, learning and choice are shaped by constraints on perception, attention, and working memory, wh…
cs.LG2020★ 5 cited
Deep RL With Information Constrained Policies: Generalization in Continuous Control
Tailia Malloy, Chris R. Sims, Tim Klinger +3
Biological agents learn and act intelligently in spite of a highly limited capacity to process and store information. Many real-world problems involve continuous control, which rep…