… DRL algorithms for the DMP problem of AD; Section 3 introduces the construction of the
interactive driving scenario; Section 4 explains the SAC algorithm … , evaluates its robustness and …

… ], with numerical examples in two-vehicle highway merging scenarios. … algorithm, we test
5000 intersection situations with randomly selected vehicles’ initial positions to provide reliable …

… freeways are particularly challenging environments for any sensor or driver because of the
… The typical strategy is to use some form of robust decision-making algorithms to let the AV …

… Additionally, constrained and robust algorithms for special industrial control systems with
state constraints and model uncertainties are also integrated into GOPS. Several examples, …

… strong robustness of MPC and the data-driven optimization capability of RL, some scholars
have begun to study the ”RL+MPC” fusion algorithm … are many driving scenarios for algorithm …

… the Risk-Constrained Robust Stochastic Bayesian Game modeling … Interactive planning
algorithms incorporate potential … planning for autonomous highway driving using Monte-Carlo …

… testing scenarios following National Highway Traffic Safety Ad… for the robustness and safety
evaluation of 4 AD algorithms, … each driving route mentioned above, we develop 4 algorithms …

… and the effort dedicated to odometry algorithms they fail to cover the … Long highways: An
environment with long highways with … that the DVSO was more robust in losing the scaling when …

… lidar-based SLAM algorithms still cannot achieve robust pose … is highway environments in
the field of autonomous driving. … To evaluate the robustness of ours, LOAM and SuMa algorithm…

… maneuvers for autonomous vehicles in highway environment, … In [6], authors describe a
fully automated driving algorithm … To demonstrate the robustness of the proposed approach for …