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2020 – today
- 2026
[i12]Ethan Fettes, Pablo G. Madoery, Halim Yanikomeroglu, Gunes Karabulut Kurt, Abhishek Naik, Stéphane Martel:
Energy Efficient Traffic Scheduling For Optical LEO Satellite Downlinks. CoRR abs/2603.01334 (2026)- [i11]Seyed Alireza Azimi, Homayoon Farrahi, Abhishek Naik, Colin Bellinger, A. Rupam Mahmood:
Benchmarking Action Spaces in Reinforcement Learning for Vision-based Robotic Manipulation. CoRR abs/2606.18594 (2026) - 2025
- [c7]Dhiraj Bhattacharjee, Pablo G. Madoery, Abhishek Naik, Halim Yanikomeroglu, Gunes Karabulut Kurt, Stéphane Martel, Khaled Ahmed:
DSROQ: Dynamic Scheduling and Routing for QoE Management in LEO Satellite Networks. GLOBECOM 2025: 5777-5782 - [c6]Ethan Fettes, Pablo G. Madoery, Halim Yanikomeroglu, Gunes Karabulut Kurt, Abhishek Naik, Colin Bellinger, Stéphane Martel, Khaled Ahmed, Sameera Siddiqui:
Energy-Efficient Satellite IoT Optical Downlinks Using Weather-Adaptive Reinforcement Learning. ICC 2025: 3218-3223 - [i10]Ethan Fettes, Pablo G. Madoery, Halim Yanikomeroglu, Gunes Karabulut-Kurt, Abhishek Naik, Colin Bellinger, Stephane Martel, Khaled Ahmed, Sameera Siddiqui:
Energy-Efficient Satellite IoT Optical Downlinks Using Weather-Adaptive Reinforcement Learning. CoRR abs/2501.11198 (2025) - [i9]Dhiraj Bhattacharjee, Pablo G. Madoery, Abhishek Naik, Halim Yanikomeroglu, Gunes Karabulut Kurt, Stephane Martel, Khaled Ahmed:
DSROQ: Dynamic Scheduling and Routing for QoE Management in LEO Satellite Networks. CoRR abs/2508.21047 (2025) - 2024
- [j2]Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton:
Reward Centering. RLJ 4: 1995-2016 (2024) - [i8]Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton:
Reward Centering. CoRR abs/2405.09999 (2024) - 2023
- [c5]Abhishek Naik
, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen:
Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. WWW (Companion Volume) 2023: 966-972 - 2022
- [c4]Alim Manjiyani, Abhishek Naik, Swathi Jamjala Narayanan, Boominathan Perumal:
Recommending Best Quality Image Using Tracking and Re-identification Approaches. ICHSA 2022: 455-464 - 2021
- [j1]Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran:
MADRaS : Multi Agent Driving Simulator. J. Artif. Intell. Res. 70: 1517-1555 (2021) - [c3]Yi Wan, Abhishek Naik, Richard S. Sutton:
Learning and Planning in Average-Reward Markov Decision Processes. ICML 2021: 10653-10662 - [c2]Yi Wan, Abhishek Naik, Richard S. Sutton:
Average-Reward Learning and Planning with Options. NeurIPS 2021: 22758-22769 - [i7]Katya Kudashkina, Yi Wan, Abhishek Naik, Richard S. Sutton:
Planning with Expectation Models for Control. CoRR abs/2104.08543 (2021) - [i6]Yi Wan, Abhishek Naik, Richard S. Sutton:
Average-Reward Learning and Planning with Options. CoRR abs/2110.13855 (2021) - 2020
- [i5]Yi Wan, Abhishek Naik, Richard S. Sutton:
Learning and Planning in Average-Reward Markov Decision Processes. CoRR abs/2006.16318 (2020) - [i4]Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran:
MADRaS : Multi Agent Driving Simulator. CoRR abs/2010.00993 (2020)
2010 – 2019
- 2019
- [i3]Abhishek Naik, Roshan Shariff, Niko Yasui, Richard S. Sutton:
Discounted Reinforcement Learning is Not an Optimization Problem. CoRR abs/1910.02140 (2019) - 2018
- [c1]Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul:
RAIL: Risk-Averse Imitation Learning. AAMAS 2018: 2062-2063 - 2017
- [i2]S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville:
Identifying User Survival Types via Clustering of Censored Social Network Data. CoRR abs/1703.03401 (2017) - [i1]Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul:
RAIL: Risk-Averse Imitation Learning. CoRR abs/1707.06658 (2017)
Coauthor Index
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last updated on 2026-07-10 01:31 CEST by the dblp team
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