
Adversarial Shapley Value Experience Replay for TaskFree Continual Learning
Continual learning is a branch of deep learning that seeks to strike a b...
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Noise Contrastive Estimation for Autoencodingbased OneClass Collaborative Filtering
Oneclass collaborative filtering (OCCF) is a common class of recommend...
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Batchlevel Experience Replay with Review for Continual Learning
Continual learning is a branch of deep learning that seeks to strike a b...
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εBMC: A Bayesian Ensemble Approach to EpsilonGreedy Exploration in ModelFree Reinforcement Learning
Resolving the explorationexploitation tradeoff remains a fundamental p...
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Bayesian Experience Reuse for Learning from Multiple Demonstrators
Learning from demonstrations (LfD) improves the exploration efficiency o...
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Contextual Policy Reuse using Deep Mixture Models
Reinforcement learning methods that consider the context, or current sta...
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Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach
Twitter has grown to become an important platform to access immediate in...
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Reward Potentials for Planning with Learned Neural Network Transition Models
Optimal planning with respect to learned neural network (NN) models in c...
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Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models
In many realworld planning problems with factored, mixed discrete and c...
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Compact and Efficient Encodings for Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models
In this paper, we leverage the efficiency of Binarized Neural Networks (...
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Planning with Learned Binarized Neural Network Transition Models in Factored State and Action Spaces
In this paper, we leverage the efficiency of Binarized Neural Networks (...
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Noise Contrastive Estimation for Scalable Linear Models for OneClass Collaborative Filtering
Previous highly scalable oneclass collaborative filtering methods such ...
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Aesthetic Features for Personalized Photo Recommendation
Many photography websites such as Flickr, 500px, Unsplash, and Adobe Beh...
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Conditional Inference in Pretrained Variational Autoencoders via Crosscoding
Variational Autoencoders (VAEs) are a popular generative model, but one ...
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Stochastic Planning and Lifted Inference
Lifted probabilistic inference (Poole, 2003) and symbolic dynamic progra...
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Approximate Linear Programming for Firstorder MDPs
We introduce a new approximate solution technique for firstorder Markov...
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Symbolic Dynamic Programming for Discrete and Continuous State MDPs
Many realworld decisiontheoretic planning problems can be naturally mo...
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Scott Sanner
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