Abstract: Temporal difference (TD) learning is a fundamental technique in reinforcement learning that updates value function estimates for states or state-action pairs using a TD target. This target ...
Feb 17 (Reuters) - Software startup Temporal has raised $300 million in a funding round led by Andreessen Horowitz, valuing the company at $5 billion, as demand rises for infrastructure to support ...
Abstract: This paper investigates the robust control problem of Markov jump linear systems (MJLSs) with unknown transition probabilities (TPs). While existing temporal difference learning (TDL) ...
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