EFFICIENT PLANNING IN LARGE MDPS WITH WEAK LINEAR FUNCTION APPROXIMATION

von Shariff, Roshan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

Bandit algorithms

von Lattimore, Tor
Veröffentlicht 2020

DETECTING OVERFITTING VIA ADVERSARIAL EXAMPLES

von Werpachowski, Roman
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Sample-Efficient Reinforcement Learning of Partially Observable Markov Games

von Liu, Qinghua
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)

LEARNING WITH GOOD FEATURE REPRESENTATIONS IN BANDITS AND IN RL WITH A GENERATIVE MODEL

von Lattimore, Tor
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 8 of 15 (2021)

Near-Optimal Sample Complexity Bounds for Constrained MDPs

von Vaswani, Sharan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

A DISTRIBUTION-DEPENDENT ANALYSIS OF META LEARNING

von KONOBEEV, MIKHAIL
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

THINK OUT OF THE "BOX": GENERICALLY-CONSTRAINED ASYNCHRONOUS COMPOSITE OPTIMIZATION AND HEDGING

von Joulani, Pooria
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

Performance of nonlinear approximate adaptive controllers

von French, Mark
Veröffentlicht 2003

Confident Approximate Policy Iteration for Efficient Local Planning in qπ-realizable MDPs

von Weisz, Gellért
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 33 of 50 (2023)

No Regrets for Learning the Prior in Bandits

von Basu, Soumya
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)

ON THE GLOBAL CONVERGENCE RATES OF SOFTMAX POLICY GRADIENT METHODS

von Mei, Jincheng
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 9 of 15 (2021)

ONLINE ALGORITHM FOR UNSUPERVISED SEQUENTIAL SELECTION WITH CONTEXTUAL INFORMATION

von Verma, Arun
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

IMPROVED REGRET BOUND AND EXPERIENCE REPLAY IN REGULARIZED POLICY ITERATION

von LAZIC, NEVENA
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

PAC-BAYES ANALYSIS BEYOND THE USUAL BOUNDS

von Rivasplata, Omar
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 21 of 27 (2021)

SPARSE FEATURE SELECTION MAKES BATCH REINFORCEMENT LEARNING MORE SAMPLE EFFICIENT

von HAO, BOTAO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)

On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method

von Zhang, Junyu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 3 of 36 (2022)

Understanding the Effect of Stochasticity in Policy Optimization

von Mei, Jincheng
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

LEVERAGING NON-UNIFORMITY IN FIRST-ORDER NON-CONVEX OPTIMIZATION

von MEI, JINCHENG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

On the Role of Optimization in Double Descent: A Least Squares Study

von Kuzborskij, Ilja
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 35 of 36 (2022)