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Samuel Findler

2 accepted papers

2026

TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning

ICRA 2026poster

We present TreeIRL, a novel planner for autonomous driving that combines Monte Carlo tree search (MCTS) and inverse reinforcement learning (IRL) to achieve state-of-the-art performance in simulation and in real-world driving. The key idea is to use MCTS to find a promising set of safe candidate traj…

2023

DriveIRL: Drive in Real Life with Inverse Reinforcement Learning

ICRA 2023poster

In this paper, we introduce the first published planner to drive a car in dense, urban traffic using Inverse Reinforcement Learning (IRL). Our planner, DriveIRL, generates a diverse set of trajectory proposals and scores them with a learned model. The best trajectory is tracked by our self-driving v…

Cited by 32SourceScholar