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Found 3 papers, 2 papers with code
Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer
Imitation Learning uses the demonstrations of an expert to uncover the optimal policy and it is suitable for real-world robotics tasks as well.
Sim-to-real reinforcement learning applied to end-to-end vehicle control
Our controller policy is able to control a small-scale robot to follow the right-hand lane of a real two-lane road, while its training was solely carried out in a simulation.
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
In our approach, the agent is trained in a simulated environment and it is able to navigate both in a simulated and real-world environment.
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