Previous question-answer pair generation methods aimed to produce fluent...
In reinforcement learning applications like robotics, agents usually nee...
The latent world model provides a promising way to learn policies in a
c...
Driving SMARTS is a regular competition designed to tackle problems caus...
High-quality traffic flow generation is the core module in building
simu...
Adapting to the changes in transition dynamics is essential in robotic
a...
Recent progress in state-only imitation learning extends the scope of
ap...
For autonomous vehicles integrating onto roadways with human traffic
par...
Recent progress in deep reinforcement learning (DRL) can be largely
attr...
Generative adversarial imitation learning (GAIL) has shown promising res...
In multi-agent systems, complex interacting behaviors arise due to the h...