Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 46 of 50
1. Verfasser: Agarwal, Alekh (VerfasserIn)
Weitere Verfasser: Zhang, Tong (VerfasserIn)
Pages:36
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2023
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization 2023 Zhang, Liang
SnAKe: Bayesian Optimization with Pathwise Exploration 2023 Folch, Jose Pablo
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF 2023 Parekh, Jayneel
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis 2023 Chen, Wuyang
Kernel Memory Networks: A Unifying Framework for Memory Modeling 2023 Iatropoulos, Georgios
On the Effectiveness of Persistent Homology 2023 Turkes, Renata
Recursive Reinforcement Learning 2023 Hahn, Ernst Moritz
Robustness to Label Noise Depends on the Shape of the Noise Distribution 2023 Oyen, Diane
Fast Neural Kernel Embeddings for General Activations 2023 Han, Insu
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks 2023 Rojas-Gomez, Renan A.
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise 2023 Savarese, Pedro
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting 2023 Sattigeri, Prasanna
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining 2023 Liu, Hao
A Regret-Variance Trade-Off in Online Learning 2023 van der Hoeven, Dirk
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity 2023 Agarwal, Alekh
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization 2023 Kovalev, Dmitry
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance 2023 YVINEC, Edouard
Contrastive Learning as Goal-Conditioned Reinforcement Learning 2023 Eysenbach, Benjamin
A Multilabel Classification Framework for Approximate Nearest Neighbor Search 2023 Hyvönen, Ville
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models 2023 Wang, Boxin
Alle Artikel auflisten