no code implementations • 7 Jun 2022 • Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Sang Uk Lee, Momchil S. Tomov, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suarez-Ruiz, Robert Beaudoin, Bo Yang, Sammy Omari, Eric M. Wolff
In this paper, we introduce the first learning-based planner to drive a car in dense, urban traffic using Inverse Reinforcement Learning (IRL).
1 code implementation • 18 Jun 2020 • Oscar de Lima, Hansal Shah, Ting-Sheng Chu, Brian Fogelson
Also, our algorithm is able to outperform IDQN baseline in the scenario where we have a variable number of passengers and cars in each episode.
Multi-agent Reinforcement Learning reinforcement-learning +1