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cs.LG2026
Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer
Yulun Wu, Sravan Kumar Ankireddy, Samuel Sharpe +4
Efficiently aggregating spatial or temporal horizons to acquire compact representations has become a unifying principle in modern deep learning models, yet learning data-adaptive r…
cs.LG2023
Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach
Heasung Kim, Sravan Kumar Ankireddy
In this work, we consider the problem of network parameter optimization for rate maximization. We frame this as a joint optimization problem of power control, beam forming, and int…