Pihe Hu

Orcid: 0000-0002-6209-2620

According to our database1, Pihe Hu authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning.
IEEE/ACM Trans. Netw., June, 2024

Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training.
CoRR, 2024

Mixed Sparsity Training: Achieving 4⨉ FLOP Reduction for Transformer Pretraining.
CoRR, 2024

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch.
CoRR, 2022

Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation.
Proceedings of the International Conference on Machine Learning, 2022

2019
Optimal Multi-User Scheduling for the Unbalanced Full-Duplex Buffer-Aided Relay Systems.
IEEE Trans. Wirel. Commun., 2019

2018
Optimal Hybrid Full-Duplex/Half-Duplex Scheme of the Buffer Aided Relay System.
CoRR, 2018

Optimal Multi-User Scheduling of Buffer-Aided Relay Systems.
Proceedings of the 2018 IEEE International Conference on Communications, 2018


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