Abhishek Naik

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Markov Decision Process

Reinforcement Learning

Top Venues

J. Artif. Intell. Res.

Publications

Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton
Reward Centering. CoRR (2024)
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)
Alim Manjiyani, Abhishek Naik, Swathi Jamjala Narayanan, Boominathan Perumal
Recommending Best Quality Image Using Tracking and Re-identification Approaches. ICHSA (2022)
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 (2021)
Yi Wan, Abhishek Naik, Richard S. Sutton
Average-Reward Learning and Planning with Options. CoRR (2021)
Yi Wan, Abhishek Naik, Richard S. Sutton
Learning and Planning in Average-Reward Markov Decision Processes. ICML (2021)
Katya Kudashkina, Yi Wan, Abhishek Naik, Richard S. Sutton
Planning with Expectation Models for Control. CoRR (2021)
Yi Wan, Abhishek Naik, Richard S. Sutton
Average-Reward Learning and Planning with Options. NeurIPS (2021)
Yi Wan, Abhishek Naik, Richard S. Sutton
Learning and Planning in Average-Reward Markov Decision Processes. CoRR (2020)
Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
MADRaS : Multi Agent Driving Simulator. CoRR (2020)
Abhishek Naik, Roshan Shariff, Niko Yasui, Richard S. Sutton
Discounted Reinforcement Learning is Not an Optimization Problem. CoRR (2019)
Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
RAIL: Risk-Averse Imitation Learning. AAMAS (2018)
S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville
Identifying User Survival Types via Clustering of Censored Social Network Data. CoRR (2017)
Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
RAIL: Risk-Averse Imitation Learning. CoRR (2017)