2 papers
cs.RO2026
Reset-Free Reinforcement Learning for Real-World Agile Driving: An Empirical Study
Kohei Honda, Hirotaka Hosogaya
This paper presents an empirical study of reset-free reinforcement learning (RL) for real-world agile driving, in which a physical 1/10-scale vehicle learns continuously on a slipp…
cs.RO2023
Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles
Kohei Honda, Naoki Akai, Kosuke Suzuki +4
This paper presents a novel Stochastic Optimal Control (SOC) method based on Model Predictive Path Integral control (MPPI), named Stein Variational Guided MPPI (SVG-MPPI), designed…