[PDF][PDF] Carma: A deep reinforcement learning approach to autonomous driving
M Vitelli, A Nayebi - Tech. rep. Stanford University, Tech. Rep., 2016 - anayebi.github.io
We created a deep Q-network (DQN) agent to perform the task of autonomous car driving
from raw sensory inputs. We evaluated our agent's performance against several standard
agents in a racing simulation environment. Our results indicate that our DQN agent is
capable of successfully controlling a car to navigate around a simulation environment.
from raw sensory inputs. We evaluated our agent's performance against several standard
agents in a racing simulation environment. Our results indicate that our DQN agent is
capable of successfully controlling a car to navigate around a simulation environment.
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