Shibhansh Dohare

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 9

Top Topics

Monte Carlo Simulation

Dirichlet Process

Noise Filtering

Top Venues

Publications

Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. CoRR (2023)
Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. AAMAS (2023)
Shibhansh Dohare, J. Fernando Hernandez-Garcia, Parash Rahman, Richard S. Sutton, A. Rupam Mahmood
Maintaining Plasticity in Deep Continual Learning. CoRR (2023)
Shibhansh Dohare, A. Rupam Mahmood, Richard S. Sutton
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness. CoRR (2021)
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI (2020)
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR (2019)
Shibhansh Dohare, Vivek Gupta, Harish Karnick
Unsupervised Semantic Abstractive Summarization. ACL (3) (2018)
Siddhartha Saxena, Shibhansh Dohare, Jaivardhan Kapoor
Variational Inference via Transformations on Distributions. CoRR (2017)
Shibhansh Dohare, Harish Karnick
Text Summarization using Abstract Meaning Representation. CoRR (2017)