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torcsRL: training a Reinforcement Learning Agent for TORCS
DeepDriving (Caffe 1.0.0rc5) in TORCS with 3 lanes
DeepDriving (Caffe 1.0.0rc5) in TORCS with 2 lanes
Deep learning for self driving using simulator Torcs
Trained RL agent driving fast in TORCS
Asynchronous Methods for Deep Reinforcement Learning: TORCS
TORCS Deep Reinforcement Learning
TNM095 - TORCS self-driving agent using DDPG
Virtual self-driving car in TORCS
Deep Reinforcement Learning - DDPG Self Driving Car Torcs
Autonomous AI Driver Simulation | IBM | TORCS |
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Last Updated: October 1, 2026
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Summary
Direct Perception approach: We used Alexnet pre-trained on Imagenet dataset, instead of training from scratch on This video is an implementation of In this video I explain how I trained an agent for Double DQN + Prioritized Experience Replay.
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