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Found 5 papers, 4 papers with code
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios
To facilitate the training and evaluation of the proposed planner, we propose a criterion for categorizing the difficulty level of parking scenarios based on space and obstacle distribution.
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making
Simulation is a prospective method for generating diverse and realistic traffic scenarios to aid in the development of driving decision-making systems.
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving
Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor savings.
Unifying Discourse Resources with Dependency Framework
For text-level discourse analysis, there are various discourse schemes but relatively few labeled data, because discourse research is still immature and it is labor-intensive to annotate the inner logic of a text.
Learning Where to Look While Tracking Instruments in Robot-assisted Surgery
For this purpose, we propose an end-to-end trainable multitask learning (MTL) model for real-time surgical instrument segmentation and attention prediction.
