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Ling Pan
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Year
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
1902019
Softmax deep double deterministic policy gradients
L Pan, Q Cai, L Huang
Thirty-Fourth Conference on Neural Information Processing Systems (NeurIPS), 2020
1152020
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
78*2023
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
642023
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
642022
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), 2020
542020
Generative augmented flow networks
L Pan, D Zhang, A Courville, L Huang, Y Bengio
Eleventh International Conference on Learning Representations (ICLR), 2023
442023
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
42*2021
Stochastic generative flow networks
L Pan, D Zhang, M Jain, L Huang, Y Bengio
Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI), 2023
332023
Distributional gflownets with quantile flows
D Zhang, L Pan, RTQ Chen, A Courville, Y Bengio
Transactions on Machine Learning Research (TMLR), 2024
252024
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
202023
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
192023
Pre-training and fine-tuning generative flow networks
L Pan, M Jain, K Madan, Y Bengio
Twelfth International Conference on Learning Representations (ICLR), 2024
152024
Learning to scale logits for temperature-conditional GFlowNets
M Kim, J Ko, D Zhang, L Pan, T Yun, W Kim, J Park, Y Bengio
Forty-First International Conference on Machine Learning (ICML), 2023
152023
Beyond conservatism: Diffusion policies in offline multi-agent reinforcement learning
Z Li, L Pan, L Huang
arXiv preprint arXiv:2307.01472, 2023
152023
Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning
H He, C Bai, L Pan, W Zhang, B Zhao, X Li
Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), 2024
132024
Qgfn: Controllable greediness with action values
E Lau, SZ Lu, L Pan, D Precup, E Bengio
Thirty-Eighth Conference on Neural Information Processing Systems (NeurIPS), 2024
102024
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective
H He, P Wu, C Bai, H Lai, L Wang, L Pan, X Hu, W Zhang
Eighth Annual Conference on Robot Learning (CoRL), 2024
72024
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
72022
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
52022
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Articles 1–20