Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning

22 Dec 2016Wendelin BöhmerRong GuoKlaus Obermayer

This paper investigates a type of instability that is linked to the greedy policy improvement in approximated reinforcement learning. We show empirically that non-deterministic policy improvement can stabilize methods like LSPI by controlling the improvements' stochasticity... (read more)

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