2 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information
Yauwai Yim, Chunkit Chan, Tianyu Shi +4
Large language models (LLMs) have shown success in handling simple games with imperfect information and enabling multi-agent coordination, but their ability to facilitate practical…
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees
Tianyu Shi, Ilia Smirnov, Omar ElSamadisy +1
Over the last decade, there has been increasing interest in autonomous driving systems. Reinforcement Learning (RL) shows great promise for training autonomous driving controllers,…
TSDiT: Traffic Scene Diffusion Models With Transformers
Chen Yang, Tianyu Shi
In this paper, we introduce a novel approach to trajectory generation for autonomous driving, combining the strengths of Diffusion models and Transformers. First, we use the histor…
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
Chen Yang, Yangfan He, Aaron Xuxiang Tian +5
In this paper, we introduce a novel approach for autonomous driving trajectory generation by harnessing the complementary strengths of diffusion probabilistic models (a.k.a., diffu…