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cs.LG2020★ 25 cited
Reward-Free Exploration for Reinforcement Learning
Chi Jin, Akshay Krishnamurthy, Max Simchowitz +1
Exploration is widely regarded as one of the most challenging aspects of reinforcement learning (RL), with many naive approaches succumbing to exponential sample complexity. To iso…
cs.LG2019★ 29 cited
Learning Linear Dynamical Systems with Semi-Parametric Least Squares
Max Simchowitz, Ross Boczar, Benjamin Recht
We analyze a simple prefiltered variation of the least squares estimator for the problem of estimation with biased, semi-parametric noise, an error model studied more broadly in ca…