4 papers · 1 filter
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…
Efficient Multi-Objective Planning with Weighted Maximization Using Large Neighbourhood Search
Krishna Kalavadia, Shamak Dutta, Yash Vardhan Pant +1
Autonomous navigation often requires the simultaneous optimization of multiple objectives. The most common approach scalarizes these into a single cost function using a weighted su…
Hierarchical Informative Path Planning via Graph Guidance and Trajectory Optimization
Avraiem Iskandar, Shamak Dutta, Kevin Murrant +2
We study informative path planning (IPP) with travel budgets in cluttered environments, where an agent collects measurements of a latent field modeled as a Gaussian process (GP) to…
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…