Search Results for author: Jonas Sjöberg

Found 3 papers, 0 papers with code

Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections

no code implementations17 Jun 2020 Carl-Johan Hoel, Tommy Tram, Jonas Sjöberg

This paper investigates how a Bayesian reinforcement learning method can be used to create a tactical decision-making agent for autonomous driving in an intersection scenario, where the agent can estimate the confidence of its recommended actions.

Autonomous Driving Decision Making +1

Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control

no code implementations1 Aug 2019 Tommy Tram, Ivo Batkovic, Mohammad Ali, Jonas Sjöberg

In this paper, we propose a decision making algorithm intended for automated vehicles that negotiate with other possibly non-automated vehicles in intersections.

Decision Making reinforcement-learning

Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning

no code implementations24 Oct 2018 Tommy Tram, Anton Jansson, Robin Grönberg, Mohammad Ali, Jonas Sjöberg

Moreover, inferring information over time is important to distinguish between different intentions and is shown by comparing the collision rate between a Deep Recurrent Q-Network at 0. 85% and a Deep Q-learning at 1. 75%.

Q-Learning

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