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A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty., , и . ICRA, стр. 6745-6751. IEEE, (2020)Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning., , , , и . CoRR, (2020)Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems., , , , и . NeurIPS, стр. 8941-8952. (2018)Multiscale abstraction, planning and control using diffusion wavelets for stochastic optimal control problems., и . ICRA, стр. 687-694. IEEE, (2017)Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty., , и . CoRR, (2020)On periodic optimal solutions of persistent sensor planning for continuous-time linear systems., и . Autom., (2019)Iterative methods for efficient sampling-based optimal motion planning of nonlinear systems., , и . Int. J. Appl. Math. Comput. Sci., 28 (1): 155-168 (2018)Multiscale Abstraction, Planning and Control using Diffusion Wavelets for Stochastic Optimal Control Problems., и . CoRR, (2016)Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input., , , и . ICRA, стр. 14298-14305. IEEE, (2021)An Efficient Path Integral Approach for Stochastic Optimal Control with a Topology-Embedded Sampling-Based Planner., и . CoRR, (2015)