TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication.
CoRR, January, 2025
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning.
Trans. Mach. Learn. Res., 2025
Multi-Agent Deep Reinforcement Learning for Persistent Monitoring With Sensing, Communication, and Localization Constraints.
IEEE Trans Autom. Sci. Eng., 2025
Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints.
CoRR, 2024
Finite-Time Standoff Target Tracking in the Presence of Wind.
Proceedings of the European Conference on Mobile Robots, 2023
Visibility-Aware Navigation With Batch Projection Augmented Cross-Entropy Method Over a Learned Occlusion Cost.
IEEE Robotics Autom. Lett., 2022
GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints.
CoRR, 2021
Restoration mechanisms for handling channel and link failures in optical WDM networks: tunable laser-based switch architectures and performance analysis.
Comput. Commun., 2005
Trends in Spam Products and Methods.
Proceedings of the CEAS 2004, 2004
Threshold based selective link restoration for optical WDM mesh networks.
Proceedings of the Fourth International Workshop on Design of Reliable Communication Networks, 2003
An Interval-Based Scheduling Algorithm for Optical WDM Star Networks.
Photonic Netw. Commun., 2002
Scheduling in Optical WDM Networks Using Hidden Markov Chain Based Traffic Prediction.
Photonic Netw. Commun., 2001
Scheduling in optical WDM networks using hidden Markov chain-based traffic predictors.
Proceedings of the IEEE International Conference on Networks 2000: Networking Trends and Challenges in the New Millennium, 2000
Scheduling Algorithms for Star-Coupled WDM Networks with Tunable Transmitter and Tunable Receiver Architecture.
Photonic Netw. Commun., 1999
Improved on-line scheduling algorithms for optical WDM networks.
Proceedings of the Multichannel Optical Networks: Theory and Practice, 1998