Long Yang

Orcid: 0000-0001-7675-2194

Affiliations:

Peking University, School of Artificial Intelligence, Institute for AI, Beijing, China
Zhejiang University, College of Computer Science and Technology, Hangzhou, China (PhD 2021)

According to our database¹, Long Yang authored at least 28 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline.

[BibT_eX]

[DOI]

CoRR, 2024

Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Langevin Policy for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Safe multi-agent reinforcement learning for multi-robot control.

[BibT_eX]

[DOI]

Artif. Intell., June, 2023

DILI: A Distribution-Driven Learned Index.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Policy Representation via Diffusion Probability Model for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Zeroth-order Optimization with Weak Dimension Dependency.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Augmented Proximal Policy Optimization for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Review of Safe Reinforcement Learning: Methods, Theory and Applications.

[BibT_eX]

[DOI]

CoRR, 2022

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Constrained Update Projection Approach to Safe Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Penalized Proximal Policy Optimization for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Policy Optimization with Stochastic Mirror Descent.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

On Convergence of Gradient Expected Sarsa(λ).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Sample Complexity of Policy Gradient Finding Second-Order Stationary Points.

[BibT_eX]

[DOI]

Long Yang

Qian Zheng

Gang Pan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

LISA: A Learned Index Structure for Spatial Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Maximum Entropy Reinforcement Learning with Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Gradient Q(σ, λ): A Unified Algorithm with Function Approximation for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Exploiting Ratings, Reviews and Relationships for Item Recommendations in Topic Based Social Networks.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Crux - A New Fast, Flexible and Decentralized Consensus Algorithm with High Fault Tolerance Rate.

[BibT_eX]

[DOI]

Proceedings of the Smart Blockchain - First International Conference, 2018

A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Long Yang

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