Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...
Guangxi Key Laboratory of Pharmaceutical Precision Detection and Screening, Pharmaceutical College, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, China Guangxi Key Laboratory of ...
Abstract: This letter studies the problem of prescribed-time stabilization for a class of uncertain nonlinear systems by adaptive dynamic programming. The results of this letter depend on the special ...
Select an option below to continue reading this premium story. Already a Honolulu Star-Advertiser subscriber? Log in now to continue reading. Mink is described as the “mother of Title IX who stood up ...
ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00103.
Thank you for publishing the repository. I'm trying to reproduce the experiments and noticed that the role and prompts templates for the Programming Expert and the Programming Example Provider are ...
LangSmith introduces dynamic few-shot example selectors, allowing for improved LLM app performance by dynamically selecting relevant examples based on user input. LangSmith has unveiled a new feature ...
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