… Behaviorbased methods learn cost functions that guide trajectory planning in compliance …
and trajectory planning using Deep Maximum Entropy Inverse Reinforcement Learning. To …

… A flight trajectory planning optimization is formulated as a Partial Observable Markov …
onboard deep reinforcement learning algorithm to optimize the realtime trajectory planning of the …

… ) trajectory planning problem has always been a popular but still an open topic, where online
planning … how to combine human knowledge with reinforcement learning to train the UAV in …

… The obstacle avoidance trajectory planning problem has … decision process approach and
reinforcement learning (RL) methods … to locally modify the vehicle trajectory in real-time when …

… two steps: trajectory planning and trajectory tracking. The trajectory planning generates one
… [18] proposed a time-dependent trajectory planning method. They used a quintic polynomial …

… We begin by defining the state representation, which is one of the critical steps when planning
the structure of a reinforcement learning problem. In our work, we consider two different …

… formulate the CAV trajectory planning problem as … trajectory planning to be minimizing fuel
consumption of the total traffic flow. The common assumptions (ie, dividing a vehicle trajectory …

… , the trajectory planning and vibration control of translational flexible hinged plate based on
optimization and reinforcement learning … , the optimal trajectory planning method for vibration …

… In this paper, we have integrated deep reinforcement learning with optimal trajectory planner.
We proposed a ValueEstimation-Guild (VEG) trajectory planner that is able to work under …

… ods, model-free reinforcement learning methods are promising in … In this paper, we propose
a multitarget trajectory planning … trajectory. We evaluate our approach on four tasks: circle …