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ORCIDSomjit Nath
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2020 – today
- 2023
[c7]Durgesh Kalwar, Omkar Shelke, Somjit Nath, Hardik Meisheri, Harshad Khadilkar:
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. AAMAS 2023: 802-809- [c6]Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou:
Discovering Object-Centric Generalized Value Functions From Pixels. ICML 2023: 25755-25768 - [c5]Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou:
Prioritizing Samples in Reinforcement Learning with Reducible Loss. NeurIPS 2023 - [i9]Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou:
Discovering Object-Centric Generalized Value Functions From Pixels. CoRR abs/2304.13892 (2023) - [i8]Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf:
Spectral Temporal Contrastive Learning. CoRR abs/2312.00966 (2023) - 2022
- [j2]Hardik Meisheri
, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar:
Scalable multi-product inventory control with lead time constraints using reinforcement learning. Neural Comput. Appl. 34(3): 1735-1757 (2022) - [i7]Somjit Nath, Omkar Shelke, Durgesh Kalwar, Hardik Meisheri, Harshad Khadilkar:
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. CoRR abs/2203.00874 (2022) - [i6]Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management. CoRR abs/2203.00885 (2022) - [i5]Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou:
Prioritizing Samples in Reinforcement Learning with Reducible Loss. CoRR abs/2208.10483 (2022) - [i4]Somjit Nath, Samira Ebrahimi Kahou:
Locally Constrained Representations in Reinforcement Learning. CoRR abs/2209.09441 (2022) - 2021
- [c4]Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar:
SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning. AAMAS 2021: 1607-1609 - [c3]Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CIKM 2021: 1346-1355 - [i3]Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CoRR abs/2108.07555 (2021) - 2020
- [c2]Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White:
Training Recurrent Neural Networks Online by Learning Explicit State Variables. ICLR 2020 - [i2]Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar:
SIBRE: Self Improvement Based REwards for Reinforcement Learning. CoRR abs/2004.09846 (2020) - [i1]Nazneen N. Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar:
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains. CoRR abs/2006.04037 (2020)
2010 – 2019
- 2019
- [c1]Wesley Chung, Somjit Nath, Ajin Joseph, Martha White:
Two-Timescale Networks for Nonlinear Value Function Approximation. ICLR (Poster) 2019 - 2018
- [j1]Somjit Nath, Subhannita Sarcar, Biswendu Chatterjee, Rhishita Chourashi, Nabendu Sekhar Chatterjee:
Smartphone camera-based analysis of ELISA using artificial neural network. IET Comput. Vis. 12(6): 826-833 (2018)
Coauthor Index
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