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08/19/2022
A Risk-Sensitive Approach to Policy Optimization
Standard deep reinforcement learning (DRL) aims to maximize expected rew...
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05/02/2022
Triangular Dropout: Variable Network Width without Retraining
One of the most fundamental design choices in neural networks is layer w...
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12/01/2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Most approaches to deep reinforcement learning (DRL) attempt to solve a ...
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12/11/2020
Objectness-Guided Open Set Visual Search and Closed Set Detection
Searching for small objects in large images is currently challenging for...
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11/07/2018
On the Complexity of Reconnaissance Blind Chess
This paper provides a complexity analysis for the game of reconnaissance...
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12/08/2017
