3 citations
- Arizona State UniversityUS1 paper
- Indian Institute of Technology BombayIN1 paper
- Institute of FlightUS1 paper
- KTH Royal Institute of TechnologySE1 paper
- KU LeuvenBE1 paper
- RWTH Aachen UniversityDE1 paper
- Sofia University "St. Kliment Ohridski"BG1 paper
- Technical University of MunichDE1 paper
- Tsinghua UniversityCN1 paper
- Universität der Bundeswehr MünchenDE1 paper
- University of PennsylvaniaUS1 paper
5 papers · 1 filter
Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
Youssef Mahran, Zeyad Gamal, Aamir Ahmad +1
This paper proposes a Network Distributed Multi-Agent Reinforcement Learning (ND-MARL) framework for quadcopter consensus control. Compared to conventional multi-agent MARL formula…
Dynamic Entropy Tuning in Reinforcement Learning Low-Level Quadcopter Control: Stochasticity vs Determinism
Youssef Mahran, Zeyad Gamal, Ayman El-Badawy
This paper explores the impact of dynamic entropy tuning in Reinforcement Learning (RL) algorithms that train a stochastic policy. Its performance is compared against algorithms th…
Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
Youssef Mahran, Zeyad Gamal, Ayman El-Badawy
This paper proposes a new Reinforcement Learning (RL) based control architecture for quadrotors. With the literature focusing on controlling the four rotors' RPMs directly, this pa…
Control of a Twin Rotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)
Zeyad Gamal, Youssef Mahran, Ayman El-Badawy
This paper proposes a reinforcement learning (RL) framework for controlling and stabilizing the Twin Rotor Aerodynamic System (TRAS) at specific pitch and azimuth angles and tracki…
Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap
Jianye Xu, Johannes Betz, Armin Mokhtarian +11
This article proposes a roadmap to address the current challenges in small-scale testbeds for Connected and Automated Vehicles (CAVs) and robot swarms. The roadmap is a joint effor…