Ddpg Algorithm Race On Torcs

Summary

Trained an AI agent capable of high speed driving using Deep Deterministic Policy Gradient. Trained on CG3 road with modified reward function. 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. Naive Reinforcement Learning applied to Train car agent with Deep deterministic policy gradient ( In this video, the learning processes of two different Deep Reinforcement Learning-Agents are shown. The accompanying thesis ... We use Aalborg track as our training dataset. Trained with 1800 episode, no pre-training before. My computer is a bit slow so ... This video shows an RL-Agent playing The Open