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Skill Transfer via Partially Amortized Hierarchical Planning
To quickly solve new tasks in complex environments, intelligent agents n...
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Conservative Safety Critics for Exploration
Safe exploration presents a major challenge in reinforcement learning (R...
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D2RL: Deep Dense Architectures in Reinforcement Learning
While improvements in deep learning architectures have played a crucial ...
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Continual Model-Based Reinforcement Learning with Hypernetworks
Effective planning in model-based reinforcement learning (MBRL) and mode...
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A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification
Clustering techniques have been proved highly suc-cessful for Takagi-Sug...
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De-anonymization of authors through arXiv submissions during double-blind review
In this paper, we investigate the effects of releasing arXiv preprints o...
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Generalized Adversarially Learned Inference
Allowing effective inference of latent vectors while training GANs can g...
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LEAF: Latent Exploration Along the Frontier
Self-supervised goal proposal and reaching is a key component for explor...
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Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks
Self-supervised goal proposal and reaching is a key component of efficie...
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DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
Recent works in high-dimensional model-predictive control and model-base...
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DIBS: Diversity inducing Information Bottleneck in Model Ensembles
Although deep learning models have achieved state-of-the-art performance...
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MANGA: Method Agnostic Neural-policy Generalization and Adaptation
In this paper we target the problem of transferring policies across mult...
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A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation
In this paper, we present a domain adaptation based generative framework...
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New tab page recommendations cause a strong suppression of exploratory web browsing behaviors
Through a combination of experimental and simulation results, we illustr...
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A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Learning effective visuomotor policies for robots purely from data is ch...
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Explanations for Temporal Recommendations
Recommendation systems are an integral part of Artificial Intelligence (...
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Layer-wise Relevance Propagation for Explainable Recommendations
In this paper, we tackle the problem of explanations in a deep-learning ...
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