Totally Asymmetric Simple Exclusion Process (TASEP) using reinforcement learning (RL) agents
RL-cheat-sheet
RL agents for the highway environment
Presented in IEEE 23rd International Conference in Systems, Man, and Cybernetics. Pre-print version of "Assessment of Reward Functions for Reinforcement Learning Vehicular Traffic Signal Control Under Real-World Limitations"
Implementation of the DQN in Tensorflow on the environment Pong using OpenAI Gym. This repository has been used for the final project of Reinforcement Learning (Winter 2017) at Sapienza University of Rome.
My Bachelor's thesis, in which I created a Reinforcement Learning Agent that efficiently drives a custom racing game using DQN and DDPG. Code @ https://github.com/cstenkamp/BA-rAIce-ANN
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