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- Matthias Plappert, Rein Houthooft, +6 authors Marcin Andrychowicz
- ArXiv
- 2017

Deep reinforcement learning (RL) methods generally engage in exploratory behavior through noise injection in the action space. An alternative is to add noise directly to the agentâ€™s parameters, whichâ€¦ (More)

- Lester Mackey, Michael I. Jordan, Richard Y. Chen, Brendan Farrell, Joel A. Tropp
- 2012

Abstract. This paper derives exponential concentration inequalities and polynomial moment inequalities for the spectral norm of a random matrix. The analysis requires a matrix extension of the scalarâ€¦ (More)

- Roarke Horstmeyer, Richard Y. Chen, Xiaoze Ou, Brendan P. W. Ames, Joel A. Tropp, Changhuei Yang
- New journal of physics
- 2015

Ptychography is a powerful computational imaging technique that transforms a collection of low-resolution images into a high-resolution sample reconstruction. Unfortunately, algorithms that currentlyâ€¦ (More)

Covariance estimation becomes challenging in the regime where the number p of variables outstrips the number n of samples available to construct the estimate. One way to circumvent this problem is toâ€¦ (More)

- Joel A. Tropp, Richard Y. Chen
- ArXiv
- 2013

This paper considers a class of entropy functionals defined for random matrices, and it demonstrates that these functionals satisfy a subadditivity property. Several matrix concentration inequalitiesâ€¦ (More)

Multi-agent settings are quickly gathering importance in machine learning. This includes a plethora of recent work on deep multiagent reinforcement learning, but also can be extended to hierarchicalâ€¦ (More)

We show how an ensemble of Q-functions can be leveraged for more effective exploration in deep reinforcement learning. We build on well established algorithms from the bandit setting, and adapt themâ€¦ (More)

- S Z Oo, Richard Y. Chen, +5 authors M. D. B. Charlton
- Optics express
- 2013

The 'Klariteâ„¢' SERS sensor platform consisting of an array of gold coated inverted square pyramids patterned onto a silicon substrate has become the industry standard over the last decade, providingâ€¦ (More)

- Roarke Horstmeyer, Richard Y. Chen, Benjamin Judkewitz, Changhuei Yang
- Optics express
- 2012

Optical speckle is commonly observed in measurements using coherent radiation. While lacking experimental validation, previous work has often assumed that speckle's random spatial pattern follows aâ€¦ (More)

- Rein Houthooft, Richard Y. Chen, +4 authors Pieter Abbeel
- ArXiv
- 2018

We propose a metalearning approach for learning gradient-based reinforcement learning (RL) algorithms. The idea is to evolve a differentiable loss function, such that an agent, which optimizes itsâ€¦ (More)