5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Conditional Kernel Imitation Learning for Continuous State Environments
Rishabh Agrawal, Nathan Dahlin, Rahul Jain +1
Imitation Learning (IL) is an important paradigm within the broader reinforcement learning (RL) methodology. Unlike most of RL, it does not assume availability of reward-feedback.…
cs.SE2020★ 1 cited
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?
Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal +2
How to make software analytics simpler and faster? One method is to match the complexity of analysis to the intrinsic complexity of the data being explored. For example, hyperparam…
cs.SE2020★ 5 cited
The Changing Nature of Computational Science Software
Huy Tu, Rishabh Agrawal, Tim Menzies
How should software engineering be adapted for Computational Science (CS)? If we understood that, then we could better support software sustainability, verifiability, reproducibili…