2 papers
cs.RO2025
Quantum deep reinforcement learning for humanoid robot navigation task
Romerik Lokossou, Birhanu Shimelis Girma, Ozan K. Tonguz +1
Classical reinforcement learning (RL) methods often struggle in complex, high-dimensional environments because of their extensive parameter requirements and challenges posed by sto…
eess.SY2024
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning
Lawrence Francis, Blessed Guda, Ahmed Biyabani
In reinforcement learning-based (RL-based) traffic signal control (TSC), decisions on the signal timing are made based on the available information on vehicles at a road intersecti…