Zero-sum Markov Games (MGs) has been an efficient framework for multi-ag...
Self-evolution is indispensable to realize full autonomous driving. This...
Intersections are quite challenging among various driving scenes wherein...
Reinforcement learning (RL) has been widely adopted to make intelligent
...
In this paper, we propose a new reinforcement learning (RL) algorithm, c...
Autonomous driving at intersections is one of the most complicated and
a...
In this paper, we propose a new state representation method, called enco...
Decision and control are two of the core functionalities of high-level
a...
Model information can be used to predict future trajectories, so it has ...
Reinforcement learning (RL) has achieved remarkable performance in a var...
In current reinforcement learning (RL) methods, function approximation e...
Reinforcement learning (RL) algorithms have been successfully applied to...
Connected vehicles will change the modes of future transportation manage...