Jiafei Lyu
Orcid: 0000-0001-6616-417X
According to our database1,
Jiafei Lyu
authored at least 31 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Knowl. Based Syst., 2024
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence.
J. Artif. Intell. Res., 2024
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse.
Inf. Sci., 2024
Eng. Appl. Artif. Intell., 2024
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning.
CoRR, 2024
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning.
CoRR, 2024
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Value activation for bias alleviation: Generalized-activated deep double deterministic policy gradients.
Neurocomputing, 2023
CoRR, 2023
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning.
CoRR, 2023
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
2020
Nuclear Power Plants With Artificial Intelligence in Industry 4.0 Era: Top-Level Design and Current Applications - A Systemic Review.
IEEE Access, 2020