3 papers
cs.CL2020
IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection
Vipul Singhal, Sahil Dhull, Rishabh Agarwal +1
This paper describes the system proposed for addressing the research problem posed in Task 10 of SemEval-2020: Emphasis Selection For Written Text in Visual Media. We propose an en…
cs.LG2019
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal, Chen Liang, Dale Schuurmans +1
We consider the problem of learning from sparse and underspecified rewards, where an agent receives a complex input, such as a natural language instruction, and needs to generate a…
cs.AI2019
Evaluation Function Approximation for Scrabble
Rishabh Agarwal
The current state-of-the-art Scrabble agents are not learning-based but depend on truncated Monte Carlo simulations and the quality of such agents is contingent upon the time avail…