A particle-based stochastic-gradient planner for finite-history partially observable trajectory games is shown to produce active information-gathering behavior in continuous pursuit-evasion and warehouse-pickup simulations, with several caveats.
Julia: A fresh approach to numerical computing.SIAM review, 59(1):65–98, 2017
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Online Competitive Information Gathering for Partially Observable Trajectory Games
A particle-based stochastic-gradient planner for finite-history partially observable trajectory games is shown to produce active information-gathering behavior in continuous pursuit-evasion and warehouse-pickup simulations, with several caveats.