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 ...

Toddlers as young as two can successfully learn new words even when a speaker’s mouth or eyes are covered, a study shows.

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?

Computing pioneer Alan Turing suggested training machines with rewards and punishments. Two computer scientists put the idea into practice in the 1980s and set the stage for the likes of ChatGPT.

Reinforcement learning was perhaps most famously used by Google DeepMind in 2016 to build AlphaGo, a program that learned for itself how to play the incredibly complex and subtle board game Go to ...

MPC, a well-known control methodology that exploits a prediction model to predict the future behaviour of the environment and compute the optimal action and RL, a Machine Learning paradigm that showed ...