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2007.00722
Cited By

Sequential Transfer in Reinforcement Learning with a Generative Model

Sequential Transfer in Reinforcement Learning with a Generative Model

1 July 2020

Andrea Tirinzoni

Riccardo Poiani

Marcello Restelli

ArXiv (abs)PDF HTML

Papers citing "Sequential Transfer in Reinforcement Learning with a Generative Model"

10 / 10 papers shown

Near-Minimax-Optimal Distributional Reinforcement Learning with a
Generative Model

Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative ModelNeural Information Processing Systems (NeurIPS), 2024

Mark Rowland

Wenliang Kevin Li

203

2

0

12 Feb 2024

Sample Complexity of Variance-reduced Distributionally Robust Q-learning

Sample Complexity of Variance-reduced Distributionally Robust Q-learning

Jose H. Blanchet

338

28

0

28 May 2023

Human-Inspired Framework to Accelerate Reinforcement Learning

Human-Inspired Framework to Accelerate Reinforcement LearningJournal of Supercomputing (JS), 2023

Ali Beikmohammadi

Sindri Magnússon

400

5

0

28 Feb 2023

On the Power of Pre-training for Generalization in RL: Provable Benefits
and Hardness

On the Power of Pre-training for Generalization in RL: Provable Benefits and HardnessInternational Conference on Machine Learning (ICML), 2022

369

8

0

19 Oct 2022

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement
Learning in Unknown Stochastic Environments

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic EnvironmentsInternational Conference on Machine Learning (ICML), 2022

420

78

0

29 Sep 2022

CtrlFormer: Learning Transferable State Representation for Visual
Control via Transformer

CtrlFormer: Learning Transferable State Representation for Visual Control via TransformerInternational Conference on Machine Learning (ICML), 2022

Mingyu Ding

Ping Luo

247

10

0

17 Jun 2022

Learning Mixtures of Linear Dynamical Systems

Learning Mixtures of Linear Dynamical SystemsInternational Conference on Machine Learning (ICML), 2022

H. Vincent Poor

316

22

0

26 Jan 2022

Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in
Multi-Agent RL and Inventory Control

Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control

394

17

0

07 Oct 2020

TempLe: Learning Template of Transitions for Sample Efficient Multi-task
RL

TempLe: Learning Template of Transitions for Sample Efficient Multi-task RLAAAI Conference on Artificial Intelligence (AAAI), 2020

Furong Huang

262

17

0

16 Feb 2020

Model-Based Reinforcement Learning with a Generative Model is Minimax
Optimal

Model-Based Reinforcement Learning with a Generative Model is Minimax OptimalAnnual Conference Computational Learning Theory (COLT), 2019

394

188

0

10 Jun 2019

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