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cs.LG2024
Privacy Preserving Reinforcement Learning for Population Processes
Samuel Yang-Zhao, Kee Siong Ng
We consider the problem of privacy protection in Reinforcement Learning (RL) algorithms that operate over population processes, a practical but understudied setting that includes,…
cs.LG2019
Conditions on Features for Temporal Difference-Like Methods to Converge
Marcus Hutter, Samuel Yang-Zhao, Sultan J. Majeed
The convergence of many reinforcement learning (RL) algorithms with linear function approximation has been investigated extensively but most proofs assume that these methods conver…