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02/21/2023
Adversarial Model for Offline Reinforcement Learning
We propose a novel model-based offline Reinforcement Learning (RL) frame...
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11/08/2022
ARMOR: A Model-based Framework for Improving Arbitrary Baseline Policies with Offline Data
We propose a new model-based offline RL framework, called Adversarial Mo...
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04/28/2021
Fast Joint Space Model-Predictive Control for Reactive Manipulation
Sampling-based model predictive control (MPC) is a promising tool for fe...
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12/10/2020
Blending MPC Value Function Approximation for Efficient Reinforcement Learning
Model-Predictive Control (MPC) is a powerful tool for controlling comple...
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12/31/2019
Information Theoretic Model Predictive Q-Learning
Model-free Reinforcement Learning (RL) algorithms work well in sequentia...
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07/22/2019
Differentiable Gaussian Process Motion Planning
Modern trajectory optimization based approaches to motion planning are f...
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07/16/2019
Leveraging Experience in Lazy Search
Lazy graph search algorithms are efficient at solving motion planning pr...
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11/17/2017
Data-driven Planning via Imitation Learning
Robot planning is the process of selecting a sequence of actions that op...
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07/10/2017