AThe Algorithm
–Neural Information Processing Systems
Construct optimistic MDP fMk and compute optimistic policy πk (Algorithm 5). When the counter is 0 it gets (s,a), i.e., Ωi,e = (s,a,). When the counter is 1, we take (s,a) from ωn and map them to ωn/2 while eliminating half of the factors in consideration with the consistent scope Zi chosen by the policy (stored in factor 2d+ 1 + iof the state). It is handled similarly to the previous item, but considers the reward consistent scope zj chosen by the policy (stored in factor 3d+ 1 + j of the state). For i = 1,...,d, the i-th factor is taken from factor i of the previous state when the counter is not log n + 1, and otherwise performs the optimistic transition of factor i. Denote the value in the last factor of Ωi,e by ve, the policy's chosen scope by Zi (stored in factor 2d+ 1 + iof the state) and the policy's chosen next state direction by s0i (stored in factor d+ 1 + iof the state).
Neural Information Processing Systems
Apr-26-2026, 02:38:20 GMT
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