no code implementations • 5 Aug 2015 • Zhuoran Wang, Paul A. Crook, Wenshuo Tang, Oliver Lemon
Belief compression improves the tractability of large-scale partially observable Markov decision processes (POMDPs) by finding projections from high-dimensional belief space onto low-dimensional approximations, where solving to obtain action selection policies requires fewer computations.
