Abhishek Naik

According to our database, Abhishek Naik authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.

Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Recommending Best Quality Image Using Tracking and Re-identification Approaches.

Alim Manjiyani, Abhishek Naik, Swathi Jamjala Narayanan, Boominathan Perumal

Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022

2021

MADRaS : Multi Agent Driving Simulator.

Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran

J. Artif. Intell. Res., 2021

Planning with Expectation Models for Control.

Katya Kudashkina, Yi Wan, Abhishek Naik, Richard S. Sutton

CoRR, 2021

Average-Reward Learning and Planning with Options.

Yi Wan, Abhishek Naik, Richard S. Sutton

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning and Planning in Average-Reward Markov Decision Processes.

Yi Wan, Abhishek Naik, Richard S. Sutton

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Discounted Reinforcement Learning is Not an Optimization Problem.

Abhishek Naik, Roshan Shariff, Niko Yasui, Richard S. Sutton

CoRR, 2019

2018

RAIL: Risk-Averse Imitation Learning.

Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Identifying User Survival Types via Clustering of Censored Social Network Data.

S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville

CoRR, 2017