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07/24/2019
Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy
This paper proposes a method for learning a trajectory-conditioned polic...
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11/05/2018
Contingency-Aware Exploration in Reinforcement Learning
This paper investigates whether learning contingency-awareness and contr...
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08/17/2016
Mollifying Networks
The optimization of deep neural networks can be more challenging than tr...
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03/01/2016
Noisy Activation Functions
Common nonlinear activation functions used in neural networks can cause ...
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11/18/2015
ACDC: A Structured Efficient Linear Layer
The linear layer is one of the most pervasive modules in deep learning r...
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12/23/2014
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient
Stochastic gradient algorithms have been the main focus of large-scale l...
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12/22/2014