… predictive trajectory planning framework to help autonomous vehicles plan future trajectories…
, and a deep reinforcement learning solution methodology to learn high-quality policies. The …

… a hierarchical path planning solution for evasive maneuvering, where a Twin Delayed DDPG
reinforcement learning agent generates the parameters of a geometric path consisting of …

… experimental results of a highlevel trajectory planning algorithm for autonomous quadrotors
based on Model Predictive Control (MPC) tuned with machine learning. Time-varying planar …

… of motion planning and tracking control, an efficient hierarchical framework containing motion
planning … Firstly, the problems of planning and control are modeled and formulated for the …

… adaptive trajectory planning approach for nonlinear dynamical systems based on deep
reinforcement learning … optimization-based trajectory planning approach named nonlinear model …

… path planning and control framework for autonomous vehicles with low-cost positioning. For
the path planning … In this paper, a reinforcement learning-based path planner is developed, …

… In each prediction interval, we present an actorcritic RL approach for … actor-critic reinforcement
learning algorithm to realize efficient, near-optimal kinodynamic motion planning. A neural …

… The performance of applying the proposed GRURDNNbased motion prediction algorithm for
… of the GRURDNN-based optimal motion predictor, an exploration trajectory can always be …

… This paper proposes a design benchmark that allows AVs to sense the real-time traffic
environment and perform path planning. The agent dynamically generates curves for feasible …

… a trial-and-error reinforcement learning process. In this study, we propose an intelligent
vehicle trajectory planning method based on reinforcement learning PPO, which determines the …