67 citations · 110 across the 10 of their papers we have counts for
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cs.LG2021★ 5 cited
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
Lucas N. Alegre, Ana L. C. Bazzan, Bruno C. da Silva
Non-stationary environments are challenging for reinforcement learning algorithms. If the state transition and/or reward functions change based on latent factors, the agent is effe…
cs.LG2021★ 3 cited
Universal Off-Policy Evaluation
Yash Chandak, Scott Niekum, Bruno Castro da Silva +3
When faced with sequential decision-making problems, it is often useful to be able to predict what would happen if decisions were made using a new policy. Those predictions must of…