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06/29/2023
Probabilistic Constraint for Safety-Critical Reinforcement Learning
In this paper, we consider the problem of learning safe policies for pro...
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10/02/2022
Policy Gradients for Probabilistic Constrained Reinforcement Learning
This paper considers the problem of learning safe policies in the contex...
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03/08/2021
Constrained Learning with Non-Convex Losses
Though learning has become a core technology of modern information proce...
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02/24/2021
Towards Safe Continuing Task Reinforcement Learning
Safety is a critical feature of controller design for physical systems. ...
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02/23/2021
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
Constrained reinforcement learning involves multiple rewards that must i...
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02/11/2021
Sufficiently Accurate Model Learning for Planning
Data driven models of dynamical systems help planners and controllers to...
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11/24/2020
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning
Prediction credibility measures, in the form of confidence intervals or ...
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10/16/2020
Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes
Reinforcement learning considers the problem of finding policies that ma...
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02/12/2020
The empirical duality gap of constrained statistical learning
This paper is concerned with the study of constrained statistical learni...
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11/20/2019
Safe Policies for Reinforcement Learning via Primal-Dual Methods
In this paper, we study the learning of safe policies in the setting of ...
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10/29/2019
Constrained Reinforcement Learning Has Zero Duality Gap
Autonomous agents must often deal with conflicting requirements, such as...
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09/16/2019
Source Seeking in Unknown Environments with Convex Obstacles
Navigation tasks often cannot be defined in terms of a target, either be...
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05/07/2019
Sparse multiresolution representations with adaptive kernels
Reproducing kernel Hilbert spaces (RKHSs) are key elements of many non-p...
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02/19/2019
Learning Task Agnostic Sufficiently Accurate Models
For complex real-world systems, designing controllers are a difficult ta...
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10/11/2017