Implementing an autonomous vehicle that is able to output feasible, smoo...
Well-established optimization-based methods can guarantee an optimal
tra...
Challenging problems of deep reinforcement learning systems with regard ...
Popular Maximum Entropy Inverse Reinforcement Learning approaches requir...
In many real world applications, reinforcement learning agents have to
o...
The common pipeline in autonomous driving systems is highly modular and
...
In many real-world decision making problems, reaching an optimal decisio...