Abhishek Naik - RankMe

20 papers A* 2A 1B 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Energy Efficient Traffic Scheduling For Optical LEO Satellite Downlinks. CoRR Ethan Fettes, Pablo G. Madoery, Halim Yanikomeroglu, Gunes Karabulut Kurt, Abhishek Naik, Stéphane Martel
2025	B	`conf`	DSROQ: Dynamic Scheduling and Routing for QoE Management in LEO Satellite Networks. GLOBECOM Dhiraj Bhattacharjee, Pablo G. Madoery, Abhishek Naik, Halim Yanikomeroglu, Gunes Karabulut Kurt, Stéphane Martel, Khaled Ahmed
2025	J	`jnl`	DSROQ: Dynamic Scheduling and Routing for QoE Management in LEO Satellite Networks. CoRR Dhiraj Bhattacharjee, Pablo G. Madoery, Abhishek Naik, Halim Yanikomeroglu, Gunes Karabulut Kurt, Stephane Martel, Khaled Ahmed
2025	—	`conf`	Energy-Efficient Satellite IoT Optical Downlinks Using Weather-Adaptive Reinforcement Learning. ICC Ethan Fettes, Pablo G. Madoery, Halim Yanikomeroglu, Gunes Karabulut Kurt, Abhishek Naik, Colin Bellinger, Stéphane Martel, Khaled Ahmed, Sameera Siddiqui
2025	J	`jnl`	Energy-Efficient Satellite IoT Optical Downlinks Using Weather-Adaptive Reinforcement Learning. CoRR Ethan Fettes, Pablo G. Madoery, Halim Yanikomeroglu, Gunes Karabulut-Kurt, Abhishek Naik, Colin Bellinger, Stephane Martel, Khaled Ahmed, Sameera Siddiqui
2024	J	`jnl`	Reward Centering. RLJ Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton
2024	J	`jnl`	Reward Centering. CoRR Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton
2023	—	`conf`	Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. WWW (Companion Volume) Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen
2022	—	`conf`	Recommending Best Quality Image Using Tracking and Re-identification Approaches. ICHSA Alim Manjiyani, Abhishek Naik, Swathi Jamjala Narayanan, Boominathan Perumal
2021	A*	`conf`	Average-Reward Learning and Planning with Options. NeurIPS Yi Wan, Abhishek Naik, Richard S. Sutton
2021	J	`jnl`	Average-Reward Learning and Planning with Options. CoRR Yi Wan, Abhishek Naik, Richard S. Sutton
2021	A*	`conf`	Learning and Planning in Average-Reward Markov Decision Processes. ICML Yi Wan, Abhishek Naik, Richard S. Sutton
2021	J	`jnl`	MADRaS : Multi Agent Driving Simulator. J. Artif. Intell. Res. Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
2021	J	`jnl`	Planning with Expectation Models for Control. CoRR Katya Kudashkina, Yi Wan, Abhishek Naik, Richard S. Sutton
2020	J	`jnl`	Learning and Planning in Average-Reward Markov Decision Processes. CoRR Yi Wan, Abhishek Naik, Richard S. Sutton
2020	J	`jnl`	MADRaS : Multi Agent Driving Simulator. CoRR Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
2019	J	`jnl`	Discounted Reinforcement Learning is Not an Optimization Problem. CoRR Abhishek Naik, Roshan Shariff, Niko Yasui, Richard S. Sutton
2018	A	`conf`	RAIL: Risk-Averse Imitation Learning. AAMAS Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2017	J	`jnl`	Identifying User Survival Types via Clustering of Censored Social Network Data. CoRR S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville
2017	J	`jnl`	RAIL: Risk-Averse Imitation Learning. CoRR Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul