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In this paper, a data-driven control scheme is proposed by integrating both reinforcement learning (RL) and iterative learning control (ILC) methodologies. To address the limitations of conventional ...
Human–machine shared control has recently been regarded as a promising paradigm to improve safety and performance in complex driving scenarios. One crucial task in shared control is dynamically ...
Toddlers as young as two can successfully learn new words even when a speaker’s mouth or eyes are covered, a study shows.
A research team from the Universitat Autònoma de Barcelona (UAB) and the University of Grenoble Alpes—Centre National de la Recherche Scientifique (CNRS) has shown that from the age of two, children ...
ChatGPT May Be Surprisingly Good At Piloting Spacecraft, Taking 2nd Place In Spaceflight Competition
O penAI's large language model (LLM) ChatGPT is surprisingly good at piloting spacecraft, according to a team that trained it ...
Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .
16-745: Optimal Control and Reinforcement Learning Spring 2020, TT 4:30-5:50 GHC 4303 Instructor: Chris Atkeson, [email protected] TA: Ramkumar Natarajan [email protected], Office hours Thursdays 6-7 ...
Why Reinforcement Learning Matters Now The core idea behind reinforcement learning is for a system to learn in the same manner that people and animals learn—by taking actions and adjusting ...
Why Reinforcement Learning Could Be AI’s Biggest Flaw Yet 9:37 am April 25, 2025 By Julian Horsey What if the very techniques we rely on to make AI smarter are actually holding it back?
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