D

deep reinforcement learning

MSc degree thesis: multi-agent reinforcement learning for workload distribution in FaaS edge computing systems

Implementation of DRL for hydrogen utilization scheduling.

This is a project to make an AI agent that plays SSBU. The agent is DeepMind's Rainbow.

This project provides optimal control and reinforcement learning implementations to optimize vaccination and testing resource allocation problems on networks.

Code implementation of AAAI'23 paper: SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control

Multi Agent Hierarchical Actor Critic (docu: https://vg_tum.gitlab.io/mahac_rl)

Python project for my master's thesis.

Using a Deep Q Network (a kind of Reinforcement Learning agent) to learn a policy to cross a busy intersection