Improved on-line scheduling algorithms for optical WDM networks. - Krishna M. Sivalingam; Jie Wang 002; Xiangjun Wu; Manav Mishra (Multichannel Optical Networks: Theory and Practice, 1998)

Scheduling Algorithms for Star-Coupled WDM Networks with Tunable Transmitter and Tunable Receiver Architecture. - Nilesh Bhide; Manav Mishra; Krishna M. Sivalingam (Photonic Netw. Commun., 1999)

Scheduling in optical WDM networks using hidden Markov chain-based traffic predictors. - Manav Mishra; Erik L. Johnson; Krishna M. Sivalingam (ICON, 2000)

Scheduling in Optical WDM Networks Using Hidden Markov Chain Based Traffic Prediction. - Erik L. Johnson; Krishna M. Sivalingam; Manav Mishra (Photonic Netw. Commun., 2001)

An Interval-Based Scheduling Algorithm for Optical WDM Star Networks. - Krishna M. Sivalingam; Jie Wang 002; Xiangjun Wu; Manav Mishra (Photonic Netw. Commun., 2002)

Threshold based selective link restoration for optical WDM mesh networks. - Ramakrishna Shenai; Christian Maciocco; Manav Mishra; Krishna M. Sivalingam (DRCN, 2003)

Trends in Spam Products and Methods. - Geoff Hulten; Anthony Penta; Gopalakrishnan Seshadrinathan; Manav Mishra (CEAS, 2004)

Restoration mechanisms for handling channel and link failures in optical WDM networks: tunable laser-based switch architectures and performance analysis. - Harini Krishnamurthy; Krishna M. Sivalingam; Manav Mishra (Comput. Commun., 2005)

GALOPP: Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Localization Constraints. - Manav Mishra; Prithvi Poddar; Jingxi Chen; Pratap Tokekar; P. B. Sujit (CoRR, 2021)

Visibility-Aware Navigation With Batch Projection Augmented Cross-Entropy Method Over a Learned Occlusion Cost. - Houman Masnavi; Jatan Shrestha; Manav Mishra; P. B. Sujit; Karl Kruusamäe; Arun Kumar Singh 001 (IEEE Robotics Autom. Lett., 2022)

Finite-Time Standoff Target Tracking in the Presence of Wind. - Pallov Anand; Pranav Niturkar; A. Pedro Aguiar; Rajat Agarwal; Manav Mishra; P. B. Sujit (ECMR, 2023)

Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints. - Manav Mishra; Hritik Bana; Saswata Sarkar; Sujeevraja Sanjeevi; Sujit PB; Kaarthik Sundar (CoRR, 2024)

Task-Agnostic Contrastive pre-Training for Inter-Agent Communication. - Peihong Yu; Manav Mishra; Syed Zaidi; Pratap Tokekar (AAMAS, 2025)

Multi-Agent Deep Reinforcement Learning for Persistent Monitoring With Sensing, Communication, and Localization Constraints. - Manav Mishra; Prithvi Poddar; Rajat Agrawal; Jingxi Chen; Pratap Tokekar; P. B. Sujit (IEEE Trans Autom. Sci. Eng., 2025)

Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning. - Peihong Yu; Manav Mishra; Alec Koppel; Carl E. Busart; Priya Narayan; Dinesh Manocha; Amrit Singh Bedi; Pratap Tokekar (Trans. Mach. Learn. Res., 2025)

TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication. - Peihong Yu; Manav Mishra; Syed Zaidi; Pratap Tokekar (CoRR, 2025)