no code implementations • 14 Dec 2019 • Dicong Qiu, Yibiao Zhao, Chris L. Baker
In this paper, we present an efficient differential dynamic programming (DDP) algorithm for belief space planning in POMDPs with uncertainty over a discrete latent state, and continuous states, actions, observations, and nonlinear dynamics.
1 code implementation • 11 Feb 2016 • Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum
Whether in groups of humans or groups of computer agents, collaboration is most effective between individuals who have the ability to coordinate on a joint strategy for collective action.
no code implementations • 3 Dec 2015 • Ryo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum
Here we model how humans infer subgoals from observations of complex action sequences using a nonparametric Bayesian model, which assumes that observed actions are generated by approximately rational planning over unknown subgoal sequences.