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Optimistic Model Rollouts for Pessimistic Offline Policy Optimization.

Y. Zhai, Y. Li, Z. Gao, X. Gong, K. Xu, D. Feng, B. Ding, и H. Wang. AAAI, стр. 16678-16686. AAAI Press, (2024)

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Ke Zhai

Hongchen Zhai

Can Zhai

Wei Zhai

Junnai Zhai

Другие публикации лиц с тем же именем

Progressive Diversifying Policy for Multi-Agent Reinforcement Learning.S. Sun, Y. Zhai, K. Xu, D. Feng, и B. Ding. ICASSP, стр. 1-5. IEEE, (2023)Pseudo Reward and Action Importance Classification for Sparse Reward Problem.Q. Wu, D. Feng, Y. Zhai, B. Ding, и J. Luo. ICMLC, стр. 51-58. ACM, (2022)Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization.Y. Zhai, K. Xu, B. Ding, D. Feng, Z. Gao, и H. Wang. CoRR, (2022)Optimistic Model Rollouts for Pessimistic Offline Policy Optimization.Y. Zhai, Y. Li, Z. Gao, X. Gong, K. Xu, D. Feng, B. Ding, и H. Wang. AAAI, стр. 16678-16686. AAAI Press, (2024)Online Self-Preferring Language Models.Y. Zhai, Z. Zhang, K. Xu, H. Peng, Y. Yu, D. Feng, C. Yang, B. Ding, и H. Wang. CoRR, (2024)CRMRL: Collaborative Relationship Meta Reinforcement Learning for Effectively Adapting to Type Changes in Multi-Robotic System.H. Jia, Y. Zhao, Y. Zhai, B. Ding, H. Wang, и Q. Wu. IEEE Robotics Autom. Lett., 7 (4): 11362-11369 (2022)A Fast and Robust Solution for Common Knowledge Formation in Decentralized Swarm Robots.J. Luo, X. Shu, Y. Zhai, X. Fu, B. Ding, и J. Xu. J. Intell. Robotic Syst., 106 (4): 68 (2022)Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration.Z. Gao, K. Xu, Y. Li, Y. Zhai, D. Feng, B. Ding, X. Mao, и H. Wang. CoRR, (2022)Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization.Y. Zhai, K. Xu, B. Ding, D. Feng, Z. Gao, и H. Wang. ICASSP, стр. 1-5. IEEE, (2023)Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision.Y. Zhao, Y. Zhai, J. Luo, D. Feng, B. Ding, и Z. Li. HPCC/DSS/SmartCity/DependSys, стр. 423-430. IEEE, (2021)

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