1 citations · 2 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Hannes Eriksson, Debabrota Basu, Tommy Tram +2
In this paper, we study the problem of transferring the available Markov Decision Process (MDP) models to learn and plan efficiently in an unknown but similar MDP. We refer to it a…
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections
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, wher…
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control
Tommy Tram, Ivo Batkovic, Mohammad Ali +1
In this paper, we propose a decision making algorithm intended for automated vehicles that negotiate with other possibly non-automated vehicles in intersections. The decision algor…
Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning
Tommy Tram, Anton Jansson, Robin Grönberg +2
This paper concerns automated vehicles negotiating with other vehicles, typically human driven, in crossings with the goal to find a decision algorithm by learning typical behavior…