While there has been substantial success in applying actor-critic method...
Experience replay plays a crucial role in improving the sample efficienc...
In most classical Autonomous Vehicle (AV) stacks, the prediction and pla...
Data-driven simulators promise high data-efficiency for driving policy
l...
Simulation has the potential to transform the development of robust
algo...
Reinforcement learning (RL) for continuous control typically employs
dis...
Learning competitive behaviors in multi-agent settings such as racing
re...
Learning complex behaviors through interaction requires coordinated long...
Deterministic neural networks (NNs) are increasingly being deployed in s...
Information gathering while interacting with other agents is critical in...