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Ishaan Grover

2 accepted papers

2025

The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function

AAAI 2025technical

Is it better to perform tennis training in a pristine indoor environment or a noisy outdoor one? To model this problem, here we investigate whether shifts in the transition probabilities between the training and testing environments in reinforcement learning problems can lead to better performance u…

2021

MRF-Chat: Improving Dialogue with Markov Random Fields

EMNLP 2021main

Recent state-of-the-art approaches in open-domain dialogue include training end-to-end deep-learning models to learn various conversational features like emotional content of response, symbolic transitions of dialogue contexts in a knowledge graph and persona of the agent and the user, among others.…

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