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DDPG on TORCS (Aalborg track, training data)
DDPG on TORCS (wheel2 track, modified reward function)
Keras DDPG MountainCar Continuous
DDPG Agent playing TORCS
Q-learning on TORCS with discritization
ur5 ddpg keras
TNM095 - TORCS self-driving agent using DDPG
Play TORCS using DDPG on Tensorflow
Deep Reinforcement Learning - DDPG Self Driving Car Torcs
RL applied to TORCS: Learning to overtake
autonomous driving on TORCS using Deep Reinforcement Learning(DDPG)
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Last Updated: September 28, 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 ... 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 Train car agent with Deep deterministic policy gradient (
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