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A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
The performance of modern reinforcement learning algorithms critically relies on tuning ever increasing numbers of hyperparameters.
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- North America > Canada > Alberta > Census Division No. 11 > Edmonton Metropolitan Region > Edmonton (0.04)
- Asia > Middle East > Jordan (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.68)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
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- North America > United States > California > San Francisco County > San Francisco (0.14)
- North America > Canada > Alberta > Census Division No. 11 > Edmonton Metropolitan Region > Edmonton (0.04)
- Asia > Middle East > Jordan (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.69)
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- North America > Canada > Alberta > Census Division No. 11 > Edmonton Metropolitan Region > Edmonton (0.04)
- Europe > Netherlands > South Holland > Rotterdam (0.04)
- Europe > Finland > Uusimaa > Helsinki (0.04)
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- Research Report > New Finding (1.00)
- Research Report > Experimental Study (1.00)
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- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Regression (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
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- North America > Canada > Alberta > Census Division No. 11 > Edmonton Metropolitan Region > Edmonton (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Europe > United Kingdom > England > Greater London > London (0.04)
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- Europe > United Kingdom > England > Greater London > London (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
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- Oceania > Australia > Victoria > Melbourne (0.04)
- North America > United States > Colorado (0.04)
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- Information Technology > Artificial Intelligence > Robots (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.68)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.67)
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Optimization of parameterized policies for reinforcement learning (RL) is an important and challenging problem in artificial intelligence.
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- North America > United States > California > San Francisco County > San Francisco (0.14)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- North America > United States > Texas (0.04)
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- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Games (0.94)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Differentially Private Contextual Linear Bandits
The objective is to maximize cumulative reward byexploring the actions to discover optimal ones (having the best expectedreward),balancedwithexploitingthem.
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- North America > United States > New York (0.04)
- North America > Canada > Alberta > Census Division No. 11 > Edmonton Metropolitan Region > Edmonton (0.04)
- North America > United States > Virginia > Arlington County > Arlington (0.04)
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- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Data Science > Data Mining > Big Data (0.48)
Ease-of-Teaching and Language Structure from Emergent Communication
Some leveloflanguage structure (e.g., compositionality) has been found in the learned communication protocols.
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- North America > Canada > Alberta > Census Division No. 11 > Edmonton Metropolitan Region > Edmonton (0.05)
- Europe > Denmark > Capital Region > Copenhagen (0.05)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.47)
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
Lei Le, Andrew Patterson, Martha White
Neural Information Processing Systems http://nips.cc/
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- North America > Canada > Ontario > Toronto (0.14)
- North America > United States > Indiana > Monroe County > Bloomington (0.04)
- North America > Canada > Quebec > Montreal (0.04)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.47)