papers
Publications (12)
cs.AI2017
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning
Saurabh Kumar, Pararth Shah, Dilek Hakkani-Tur +1
astro-ph.CO2019
CMB Spectral Distortions from Cooling Macroscopic Dark Matter
Saurabh Kumar, Emanuela Dimastrogiovanni, Glenn D. Starkman +2
astro-ph.CO2014
Orthogonal BipoSH measures : Scrutinizing sources of isotropy violation
Saurabh Kumar, Aditya Rotti, Moumita Aich +3
cs.LG2018
Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada +2
cs.AI2017
Learning to Compose Skills
Himanshu Sahni, Saurabh Kumar, Farhan Tejani +1
astro-ph.GA2017
Could 1I/'Oumuamua be macroscopic dark matter?
David Cyncynates, Emanuela Dimastrogiovanni, Saurabh Kumar +2
stat.ML2019
Statistics and Samples in Distributional Reinforcement Learning
Mark Rowland, Robert Dadashi, Saurabh Kumar +3
cond-mat.dis-nn2018
Strain localisation above the yielding point in cyclically deformed glasses
Anshul D. S. Parmar, Saurabh Kumar, Srikanth Sastry
cond-mat.str-el2013
Magnetic and Structural properties of $MnV_{2}O_{4}$
Prashant Shahi, Saurabh Kumar, Neetika Sharma +8
cs.LG2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Carles Gelada, Saurabh Kumar, Jacob Buckman +2
astro-ph.CO2017
Failures of homogeneous and isotropic cosmologies in Extended Quasi-Dilaton Massive Gravity
Stefano Anselmi, Saurabh Kumar, Diana López Nacir +1
cs.AI2017
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning
Himanshu Sahni, Saurabh Kumar, Farhan Tejani +2