VAC is a new actor-critic method with a single optimistic objective and a provably near-optimal regret bound in linear Markov decision processes.
(40) Here, H(·) is the entropy function satisfying 0 ⩽ H(p) ⩽ log |A|, ∀p ∈ ∆(A)
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Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
VAC is a new actor-critic method with a single optimistic objective and a provably near-optimal regret bound in linear Markov decision processes.