Optimization of a Cluster-Based Energy Management System using Deep Reinforcement Learning without Affecting Prosumer Comfort: V2X Technologies and Peer-to …
M Yavuz, ÖC Kivanç - IEEE Access, 2024 - ieeexplore.ieee.org
The concept of Prosumer has enabled consumers to actively participate in Peer-to-Peer
(P2P) energy trading, particularly as Renewable Energy Source (RES) s and Electric …
(P2P) energy trading, particularly as Renewable Energy Source (RES) s and Electric …
Limited Information Aggregation for Collaborative Driving in Multi-Agent Autonomous Vehicles
Multi-agent reinforcement learning (MARL) methods have emerged as a promising solution
for multi-agent collaborative driving in the intersection and roundabout scenarios. However …
for multi-agent collaborative driving in the intersection and roundabout scenarios. However …
Attention-Based Distributional Reinforcement Learning for Safe and Efficient Autonomous Driving
Autonomous driving vehicles play a critical role in intelligent transportation systems and
have garnered considerable attention. Currently, the popular approach in autonomous …
have garnered considerable attention. Currently, the popular approach in autonomous …
Efficient Collaborative Multi-Agent Driving via Cross-Attention and Concise Communication
Q Liang, Z Jiang, J Yin, L Peng, J Liu… - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
Reinforcement learning has been shown to have great potential applications in autonomous
driving. For collaborative driving scenarios, multi-agent reinforcement learning can be used …
driving. For collaborative driving scenarios, multi-agent reinforcement learning can be used …