Learning eco-driving strategies from human driving trajectories

Continuous control with deep reinforcement learning

Timothy Lillicrap, Jonathan J. Hunt, Alexander Pritzel et al. · arXiv (Cornell University) · 2016 · 6.8K citations · Full text

Computing, Computer Science, Physics +17

Congested traffic states in empirical observations and microscopic simulations

Martin Treiber, Ansgar Hennecke, Dirk Helbing · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2000 · 4.6K citations · Full text

Engineering, Automotive Engineering, Complex Systems +14

Estimating Vehicle Fuel Consumption and Emissions based on Instantaneous Speed and Acceleration Levels

Kyoungho Ahn, Hesham Rakha, Antonio Trani et al. · Journal of Transportation Engineering · 2002 · 814 citations

Engineering, Automotive Engineering, Environmental Engineering +17

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Sergey Levine, Aviral Kumar, George Tucker et al. · arXiv (Cornell University) · 2020 · 796 citations · Full text

Computing, Computer Science, Artificial Intelligence +9

Conservative Q-Learning for Offline Reinforcement Learning

Aviral Kumar, Aurick Zhou, George Tucker et al. · arXiv (Cornell University) · 2020 · 537 citations · Full text

Computing, Computer Science, Artificial Intelligence +12