Suivre
Ling Pan
Titre
Citée par
Citée par
Année
A deep reinforcement learning framework for rebalancing dockless bike sharing systems
L Pan, Q Cai, Z Fang, P Tang, L Huang
Thirty-Third AAAI Conference on Artificial Intelligence Conference (AAAI), 2019
1732019
Softmax deep double deterministic policy gradients
L Pan, Q Cai, L Huang
Thirty-Fourth Conference on Neural Information Processing Systems (NeurIPS), 2020
782020
Reinforcement learning with dynamic boltzmann softmax updates
L Pan, Q Cai, Q Meng, W Chen, L Huang, TY Liu
Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), 2019
432019
Plan better amid conservatism: Offline multi-agent reinforcement learning with actor rectification
L Pan, L Huang, T Ma, H Xu
Thirty-Ninth International Conference on Machine Learning (ICML), 2022
342022
Better training of gflownets with local credit and incomplete trajectories
L Pan, N Malkin, D Zhang, Y Bengio
Fortieth International Conference on Machine Learning (ICML), 2023
272023
Regularized softmax deep multi-agent q-learning
L Pan, T Rashid, B Peng, L Huang, S Whiteson
Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021
27*2021
Generative augmented flow networks
L Pan, D Zhang, A Courville, L Huang, Y Bengio
Eleventh International Conference on Learning Representations (ICLR), 2023
212023
Let the flows tell: Solving graph combinatorial optimization problems with gflownets
D Zhang, H Dai, N Malkin, A Courville, Y Bengio, L Pan
Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
17*2023
Stochastic generative flow networks
L Pan, D Zhang, M Jain, L Huang, Y Bengio
Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI), 2023
152023
Distributional gflownets with quantile flows
D Zhang, L Pan, RTQ Chen, A Courville, Y Bengio
Transactions on Machine Learning Research (TMLR), 2024
112024
Network topology optimization via deep reinforcement learning
Z Li, X Wang, L Pan, L Zhu, Z Wang, J Feng, C Deng, L Huang
IEEE Transactions on Communications (TCOM), 2023
82023
Rlx2: Training a sparse deep reinforcement learning model from scratch
Y Tan, P Hu, L Pan, J Huang, L Huang
Eleventh International Conference on Learning Representations (ICLR), 2023
72023
Learning to scale logits for temperature-conditional GFlowNets
M Kim, J Ko, D Zhang, L Pan, T Yun, W Kim, J Park, Y Bengio
arXiv preprint arXiv:2310.02823, 2023
52023
Beyond conservatism: Diffusion policies in offline multi-agent reinforcement learning
Z Li, L Pan, L Huang
arXiv preprint arXiv:2307.01472, 2023
42023
Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning
P Hu, L Pan, Y Chen, Z Fang, L Huang
Twenty-Third International Symposium on Theory, Algorithmic Foundations, and …, 2022
42022
Multi-path policy optimization
L Pan, Q Cai, L Huang
Nineteenth International Conference on Autonomous Agents and Multi-Agent …, 2020
42020
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
C Chang, N Mu, J Wu, L Pan, H Xu
Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
32022
Pre-training and fine-tuning generative flow networks
L Pan, M Jain, K Madan, Y Bengio
Twelfth International Conference on Learning Representations (ICLR), 2024
22024
Deterministic value-policy gradients
Q Cai*, L Pan*, P Tang
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
22020
Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning
P Hu, Y Chen, L Pan, Z Fang, F Xiao, L Huang
IEEE/ACM Transactions on Networking (TON), 2024
12024
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