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Top-down Traffic Scenario Generation via Joint Initial-Goal Diffusion and Trajectory Infilling
Da Saem Lee, Yash Vardhan Pant, Sebastian Fischmeister
Robust traffic simulators are crucial for developing and testing autonomous vehicles to reduce the costly, labor-intensive real-world data collection process and the need for physi…
SAC-MoE: Reinforcement Learning with Mixture-of-Experts for Control of Hybrid Dynamical Systems with Uncertainty
Leroy D'Souza, Akash Karthikeyan, Yash Vardhan Pant +1
Hybrid dynamical systems result from the interaction of continuous-variable dynamics with discrete events and encompass various systems such as legged robots, vehicles and aircraft…
Path Diffuser: Diffusion Model for Data-Driven Traffic Simulator
Da Saem Lee, Akash Karthikeyan, Yash Vardhan Pant +1
Simulating diverse and realistic traffic scenarios is critical for developing and testing autonomous planning. Traditional rule-based planners lack diversity and realism, while lea…