LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
Microscopic traffic simulation plays a crucial role in transportation engineering by providing
insights into individual vehicle behavior and overall traffic flow. However creating a realistic …
insights into individual vehicle behavior and overall traffic flow. However creating a realistic …
Long-term microscopic traffic simulation with history-masked multi-agent imitation learning
A realistic long-term microscopic traffic simulator is necessary for understanding how
microscopic changes affect traffic patterns at a larger scale. Traditional simulators that model …
microscopic changes affect traffic patterns at a larger scale. Traditional simulators that model …
De novo drug design as GPT language modeling: large chemistry models with supervised and reinforcement learning
G Ye - Journal of Computer-Aided Molecular Design, 2024 - Springer
In recent years, generative machine learning algorithms have been successful in designing
innovative drug-like molecules. SMILES is a sequence-like language used in most effective …
innovative drug-like molecules. SMILES is a sequence-like language used in most effective …
Decision Making for Driving Agent in Traffic Simulation via Adversarial Inverse Reinforcement Learning
N Zhong, J Chen, Y Ma, W Jiang - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
Traffic simulation has the potential to facilitate the development and testing of autonomous
vehicles, as a supplement to road testing. Since autonomous vehicles will coexist with …
vehicles, as a supplement to road testing. Since autonomous vehicles will coexist with …
A Survey of Artificial Intelligence Approaches to Safety and Mission-Critical Systems
C Thames, Y Sun - 2024 Integrated Communications …, 2024 - ieeexplore.ieee.org
Safety and mission-critical systems span across an extensive array of research areas,
including transportation (aviation, aerospace, automotive, rail), cybersecurity, robotics, and …
including transportation (aviation, aerospace, automotive, rail), cybersecurity, robotics, and …
Aligning Language Models Using Multi-Objective Deep Reinforcement Learning
Y Zhang - 2023 - dr.library.brocku.ca
Large Language Models (LLMs) have been a significant landmark of Artificial Intelligence
(AI) advancement. Aligning LLMs to be helpful and harmless is a booming trend in Natural …
(AI) advancement. Aligning LLMs to be helpful and harmless is a booming trend in Natural …