Tactics2D: A Highly Modular and Extensible Simulator for Driving
Decision-making

Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making

18 November 2023

Ming Yang

Papers citing "Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making"

3 / 3 papers shown

Title
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios Mingyang Jiang Yueyuan Li Songan Zhang Siyuan Chen Chunxiang Wang Ming Yang 48 4 0 31 May 2024
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 149 532 0 20 Apr 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 139 193 0 19 Oct 2020