Harshad Khadilkar
3 papers in the PaperMetrix corpus
Papers by this author
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FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability
2021
We propose a novel methodology for improving the rate and consistency of reinforcement learning in partially observable (foggy) environments, under the broader umbrella of robust latent representations. The present work addresses partially observable environments, which …
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A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions
2022 · arXiv (Cornell University)
Modern deep neural network models are known to erroneously classify out-of-distribution (OOD) test data into one of the in-distribution (ID) training classes with high confidence. This can have disastrous consequences for safety-critical applications. A popular …
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Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG
2025 · arXiv (Cornell University)
Large language models (LLMs) have transformed natural language processing (NLP), enabling diverse applications by integrating large-scale pre-trained knowledge. However, their static knowledge limits dynamic reasoning over external information, especially in knowledge-intensive domains. Retrieval-Augmented Generation (RAG) …