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04/23/2023
GamutMLP: A Lightweight MLP for Color Loss Recovery
Cameras and image-editing software often process images in the wide-gamu...
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06/20/2022
Policy Optimization with Linear Temporal Logic Constraints
We study the problem of policy optimization (PO) with linear temporal lo...
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11/15/2019
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Off-policy policy evaluation (OPE) is the problem of estimating the onli...
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07/11/2019
Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning
We present Imitation-Projected Policy Gradient (IPPG), an algorithmic fr...
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07/11/2019
Imitation-Projected Programmatic Reinforcement Learning
We study the problem of programmatic reinforcement learning, in which po...
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03/20/2019
Batch Policy Learning under Constraints
When learning policies for real-world domains, two important questions a...
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03/18/2019
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability
The goal of this paper is to understand the impact of learning on contro...
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03/04/2019
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems
Many modern nonlinear control methods aim to endow systems with guarante...
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03/01/2018
