A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models

L Da, J Turnau, TP Kutralingam, A Velasquez… - arxiv preprint arxiv …, 2025‏ - arxiv.org
Deep Reinforcement Learning (RL) has been explored and verified to be effective in solving
decision-making tasks in various domains, such as robotics, transportation, recommender …

Scenario Driven Development for Open Source Autonomous Driving Stack

M Gulzar, T Matiisen… - 2024 IEEE 29th …, 2024‏ - ieeexplore.ieee.org
The development of an autonomous driving stack (ADS) is challenging since it requires
rigorous testing at each step. Whether the stack is modular, semi-modular, or end-to-end, the …

Multi-agent systems research in the United Kingdom

SV Albrecht, M Wooldridge - AI Communications, 2022‏ - journals.sagepub.com
Multi-agent systems have been a core research topic in artificial intelligence for several
decades. A multiagent system consists of multiple decision-making agents–which may be …

[PDF][PDF] Recent advances on testing autonomous vehicle systems: an industry perspective

J Sadeghi - 2023‏ - hi-drive.eu
2023-09-07 Recent advances on testing autonomous vehicle systems: an industry perspective
Page 1 Recent advances on testing autonomous vehicle systems: an industry perspective …

[PDF][PDF] The Design of Art Design System Based on Image Processing Technology

R Niu - 2023‏ - scholar-press.com
Nowadays, the design of digital image processing technology is develo** in the direction
of art and personalisation. In line with this development trend, it is necessary to combine …

[HTML][HTML] Autonomous Agents Research Group

S Albrecht, F Christianos, L Schäfer, A Kuznietsov… - 2022‏ - agents-lab.org
Multi-agent systems have been a core research topic in artificial intelligence for several
decades. A multi-agent system consists of multiple decision-making agents–which may be …