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What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.

H. Tang, Z. Meng, J. Hao, C. Chen, D. Graves, D. Li, C. Yu, H. Mao, W. Liu, Y. Yang, W. Tao, и L. Wang. AAAI, стр. 8441-8449. AAAI Press, (2022)

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Meng Meng

Zhaopeng Li

Meng Meng Liang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Winfried Meng

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Change Management of ERP Usage.Z. Meng, и F. Zhao. HCI (1), том 10271 из Lecture Notes in Computer Science, стр. 188-202. Springer, (2017)Tangible vs. Multi-Touch: Comparing Potential to Enhance Learning for Preschool Children Using Eye-tracking.T. Cai, S. Sha, Z. Meng, и C. Own. ICHMI, стр. 1-6. ACM, (2021)What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.H. Tang, Z. Meng, J. Hao, C. Chen, D. Graves, D. Li, C. Yu, H. Mao, W. Liu, Y. Yang и 2 other автор(ы). AAAI, стр. 8441-8449. AAAI Press, (2022)Addressing Action Oscillations through Learning Policy Inertia.C. Chen, H. Tang, J. Hao, W. Liu, и Z. Meng. AAAI, стр. 7020-7027. AAAI Press, (2021)A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.Y. Ma, X. Hao, J. Hao, J. Lu, X. Liu, X. Tong, M. Yuan, Z. Li, J. Tang, и Z. Meng. NeurIPS, стр. 23609-23620. (2021)Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.T. Sang, H. Tang, J. Hao, Y. Zheng, и Z. Meng. DAI, том 13170 из Lecture Notes in Computer Science, стр. 21-37. Springer, (2021)Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.Y. Zheng, C. Fan, X. Xie, T. Su, L. Ma, J. Hao, Z. Meng, Y. Liu, R. Shen, и Y. Chen. ASE, стр. 772-784. IEEE, (2019)Multi-view Stereo Network with Attention Thin Volume.Z. Wan, C. Xu, J. Hu, J. Xiao, Z. Meng, и J. Chen. PRICAI (3), том 13631 из Lecture Notes in Computer Science, стр. 410-423. Springer, (2022)PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.T. Sang, H. Tang, Y. Ma, J. Hao, Y. Zheng, Z. Meng, B. Li, и Z. Wang. IJCAI, стр. 3416-3422. ijcai.org, (2022)ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.J. Hao, P. Li, H. Tang, Y. Zheng, X. Fu, и Z. Meng. ICLR, OpenReview.net, (2023)

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