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cs.LG2025
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
Xinjie Liu, Cyrus Neary, Kushagra Gupta +4
Many reinforcement learning (RL) algorithms are impractical for training in operational systems or computationally expensive high-fidelity simulations, as they require large amount…
cs.LG2020★ 1 cited
Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning
Tyler Westenbroek, Eric Mazumdar, David Fridovich-Keil +3
This paper proposes a framework for adaptively learning a feedback linearization-based tracking controller for an unknown system using discrete-time model-free policy-gradient para…