Robust Task Representations for Offline Meta-Reinforcement Learning Via Contrastive Learning

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 31 of 33
1. Verfasser: Yuan, Haoqi (VerfasserIn)
Weitere Verfasser: Lu, Zongqing (VerfasserIn)
Pages:2022
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2023
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Estimating Instance-Dependent Bayes-Label Transition Matrix Using a Deep Neural Network 2023 Yang, Shuo
NLP from Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework 2023 Yao, Xingcheng
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference 2023 Ye, Mao
Be Like Water: Adaptive Floating Point for Machine Learning 2023 Yeh, Thomas
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization 2023 Yoon, Jaehong
The Combinatorial Brain Surgeon: Pruning Weights that Cancel One Another in Neural Networks 2023 Yu, Xin
Robust Task Representations for Offline Meta-Reinforcement Learning Via Contrastive Learning 2023 Yuan, Haoqi
Predicting Out-Of-Distribution Error with the Projection Norm 2023 Yu, Yaodong
Stabilizing Q-Learning with Linear Architectures for Provable Efficient Learning 2023 Zanette, Andrea
Efficient PAC Learning from the Crowd with Pairwise Comparisons 2023 Zeng, Shiwei
Anytime Information Cascade Popularity Prediction Via Self-Exciting Processes 2023 Zhang, Xi
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity 2023 Yang, Jianyi
Linear Bandit Algorithms with Sublinear Time Complexity 2023 Yang, Shuo
Fourier Learning with Cyclical Data 2023 Yang, Yingxiang
Learning from a Learning User for Optimal Recommendations 2023 Yao, Fan
Anarchic Federated Learning 2023 Yang, Haibo
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning 2023 Yi, Liping
Understanding Robust Overfitting of Adversarial Training and Beyond 2023 Yu, Chaojian
Topology-Aware Network Pruning Using Multi-Stage Graph Embedding and Reinforcement Learning 2023 Yu, Sixing
Latent Diffusion Energy-Based Model for Interpretable Text Modelling 2023 Yu, Peiyu
Alle Artikel auflisten