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07/24/2018
Learning from Delayed Outcomes with Intermediate Observations
Optimizing for long term value is desirable in many practical applicatio...
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03/11/2018
Soft-Robust Actor-Critic Policy-Gradient
Robust Reinforcement Learning aims to derive an optimal behavior that ac...
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03/05/2018
Optimizing Slate Recommendations via Slate-CVAE
The slate recommendation problem aims to find the "optimal" ordering of ...
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02/09/2018
Learning Robust Options
Robust reinforcement learning aims to produce policies that have strong ...
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12/30/2016
Adaptive Lambda Least-Squares Temporal Difference Learning
Temporal Difference learning or TD(λ) is a fundamental algorithm in the ...
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02/10/2016
Adaptive Skills, Adaptive Partitions (ASAP)
We introduce the Adaptive Skills, Adaptive Partitions (ASAP) framework t...
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02/10/2016
Iterative Hierarchical Optimization for Misspecified Problems (IHOMP)
For complex, high-dimensional Markov Decision Processes (MDPs), it may b...
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06/11/2015
Bootstrapping Skills
The monolithic approach to policy representation in Markov Decision Proc...
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04/16/2015
