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DDPG on TORCS (Aalborg track, training data)
Asynchronous Methods for Deep Reinforcement Learning: TORCS
DDPG on TORCS (wheel2 track, modified reward function)
Keras DDPG MountainCar Continuous
Q-learning on TORCS with discritization
DDPG Agent playing TORCS
RL applied to TORCS: Learning to overtake
TNM095 - TORCS self-driving agent using DDPG
Deep Reinforcement Learning - DDPG Self Driving Car Torcs
Play TORCS using DDPG on Tensorflow
ur5 ddpg keras
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Last Updated: October 5, 2026
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Summary
Trained on CG3 road with modified reward function. Trained an AI agent capable of high speed driving using Deep Deterministic Policy Gradient. We use Aalborg track as our training dataset. Trained with 1800 episode, no pre-training before. My computer is a bit slow so ... The video shows an agent driving a racecar using only raw pixels as input. The agent was trained using the Asynchronous ... I trained on the wheel2 track with the modified reward function such that it does not require staying in the middle of the track. This video shows an RL-Agent playing The Open Racing Car Simulator. Naive Reinforcement Learning applied to
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