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Blending MPC Value Function Approximation for Efficient Reinforcement Learning
Model-Predictive Control (MPC) is a powerful tool for controlling comple...
12/10/2020 ∙ by Mohak Bhardwaj, et al. ∙
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Information Theoretic Model Predictive Q-Learning
Model-free Reinforcement Learning (RL) algorithms work well in sequentia...
12/31/2019 ∙ by Mohak Bhardwaj, et al. ∙
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Differentiable Gaussian Process Motion Planning
Modern trajectory optimization based approaches to motion planning are f...
07/22/2019 ∙ by Mohak Bhardwaj, et al. ∙
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Leveraging Experience in Lazy Search
Lazy graph search algorithms are efficient at solving motion planning pr...
07/16/2019 ∙ by Mohak Bhardwaj, et al. ∙
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Data-driven Planning via Imitation Learning
Robot planning is the process of selecting a sequence of actions that op...
11/17/2017 ∙ by Sanjiban Choudhury, et al. ∙
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Learning Heuristic Search via Imitation
Robotic motion planning problems are typically solved by constructing a ...
07/10/2017 ∙ by Mohak Bhardwaj, et al. ∙
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