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Vihang Patil

Retrieval-Augmented Decision Transformer: External Memory for In-context RL
2024 · Schmied, Thomas, Paischer, Fabian, et al. · arXiv (Cornell University) · 24
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A Dataset Perspective on Offline Reinforcement Learning
2021 · Schweighofer, Kajetan, Radler, Andreas, et al. · arXiv (Cornell University) · 22
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A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
2024 · Schmied, Thomas, Adler, Thomas, et al. · arXiv (Cornell University) · 19
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History Compression via Language Models in Reinforcement Learning
2022 · Paischer, Fabian, Adler, Thomas, et al. · arXiv (Cornell University) · 11
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Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization
2026 · Gai, Jiading, Zhang, Shuai, et al. · arXiv (Cornell University) · 9
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Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
2022 · Steinparz, Christian, Schmied, Thomas, et al. · arXiv (Cornell University) · 9
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Contrastive Abstraction for Reinforcement Learning
2024 · Patil, Vihang, Hofmarcher, Markus, et al. · arXiv (Cornell University) · 3
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A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
2022 · Diouane, Youssef, Lucchi, Aurelien, et al. · arXiv (Cornell University) · 3
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Simplified priors for Object-Centric Learning
2024 · Patil, Vihang, Radler, Andreas, et al. · arXiv (Cornell University) · 1
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Learning how to Forget: Fine-tuning for Long-Context Sparse Attention
2026 · Seeger, Matthias, Zhang, Zeyu, et al. · arXiv (Cornell University)
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Works count: 10
Citation count: 101
H-index: 6
I10-index: 4
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