Search Results for author: Ashley Llorens

Found 3 papers, 0 papers with code

A Risk-Sensitive Approach to Policy Optimization

no code implementations19 Aug 2022 Jared Markowitz, Ryan W. Gardner, Ashley Llorens, Raman Arora, I-Jeng Wang

Without cost constraints, we find that pessimistic risk profiles can be used to reduce cost while improving total reward accumulation.

Decision Making

A Risk-Sensitive Policy Gradient Method

no code implementations29 Sep 2021 Jared Markowitz, Ryan Gardner, Ashley Llorens, Raman Arora, I-Jeng Wang

Standard deep reinforcement learning (DRL) agents aim to maximize expected reward, considering collected experiences equally in formulating a policy.

Decision Making

Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust

no code implementations27 Oct 2020 Ufuk Topcu, Nadya Bliss, Nancy Cooke, Missy Cummings, Ashley Llorens, Howard Shrobe, Lenore Zuck

The second workshop held in February 2020, focused on existing capabilities, current research, and research trends that could address the challenges and problems identified in workshop.

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