research
∙
03/09/2022
Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics
Automated vehicles require the ability to cooperate with humans for smoo...
share
research
∙
02/14/2022
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search
Cooperative trajectory planning methods for automated vehicles, are capa...
research
∙
02/12/2021
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning
Data driven approaches for decision making applied to automated driving ...
research
∙
03/30/2020
Parallelization of Monte Carlo Tree Search in Continuous Domains
Monte Carlo Tree Search (MCTS) has proven to be capable of solving chall...
research
∙
02/02/2020
Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search
Efficient driving in urban traffic scenarios requires foresight. The obs...
research
∙
09/10/2018
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States
Making the right decision in traffic is a challenging task that is highl...
research
∙
09/10/2018
Decentralized Cooperative Planning for Automated Vehicles with Continuous Monte Carlo Tree Search
Urban traffic scenarios often require a high degree of cooperation betwe...
research
∙
07/25/2018