Subject: Reinforcement Learning

This project will explore use of and development of new multi-agent RL techniques to achieve cooperation and coordination between autonomous vehicles in order to optimize traffic congestion. Prior experience with RL is essential

This project will apply and extend multi-objective (MO) technique Deep W-Networks[1] to a number of benchmark environments from multi-objective gym [2], and benchmark against other MO RL techniques. References: [1] J Hribar, L Hackett, I Dusparic. Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning. International Conference on Agents and Artificial Intelligence (ICAART) 2023 … Read more