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Hao Sun
Hao Sun
PhD Candidate, DAMTP, University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction.
Q Ding, S Wu, H Sun, J Guo, J Guo
IJCAI 2020 (Proceedings of the Twenty-Ninth International Joint Conference …, 2020
1452020
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL
R Yang, Y Lu, W Li, H Sun, M Fang, Y Du, X Li, L Han, C Zhang
ICLR 2022 (The Tenth International Conference on Learning Representations), 2022
472022
Adaptive regularization of labels
Q Ding, S Wu, H Sun, J Guo, ST Xia
AAAI 2021 (The Thirty-Fifth AAAI Conference on Artificial Intelligence), 2021
42*2021
Policy Continuation with Hindsight Inverse Dynamics
H Sun, Z Li, X Liu, D Lin, B Zhou
NeurIPS 2019 (Advances in Neural Information Processing Systems 33), 2019
342019
Neuro-symbolic program search for autonomous driving decision module design
J Sun, H Sun, T Han, B Zhou
CoRL 2020 (Conference on Robot Learning), 2020
312020
The response of sediment phosphorus retention and release to reservoir operations: numerical simulation and surrogate model development
Z Xu, C Yu, H Sun, Z Yang
Journal of Cleaner Production 271, 122688, 2020
302020
Membership Inference Attacks against Synthetic Data through Overfitting Detection
B van Breugel, H Sun, Z Qian, M van der Schaar
AISTATS 2023 (The 26th International Conference on Artificial Intelligence …, 2023
182023
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
H Sun, L Han, R Yang, X Ma, J Guo, B Zhou
Advances in Neural Information Processing Systems 35, 37719-37734, 2022
16*2022
Supervised Q-Learning can be a Strong Baseline for Continuous Control
H Sun, Z Xu, M Fang, B Zhou
NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022
16*2022
Non-local policy optimization via diversity-regularized collaborative exploration
Z Peng, H Sun, B Zhou
arXiv preprint arXiv:2006.07781, 2020
142020
Novel policy seeking with constrained optimization
H Sun, Z Peng, B Dai, D Lin, B Zhou
NeurIPS 2022 Deep RL Workshop, 2022
132022
Safe Exploration by Solving Early Terminated MDP
H Sun, Z Xu, M Fang, Z Peng, J Guo, B Dai, B Zhou
NeurIPS 2022 Deep RL Workshop, 2022
12*2022
On the guaranteed almost equivalence between imitation learning from observation and demonstration
Z Cheng, L Liu, A Liu, H Sun, M Fang, D Tao
TNNLS (IEEE Transactions on Neural Networks and Learning Systems), 2021
62021
Query-Dependent Prompt Evaluation and Optimization with Inverse Reinforcement Learning
H Sun, A Hüyük, M van der Schaar
ICLR 2024, 2024
5*2024
DAUX: a Density-based Approach for Uncertainty eXplanations
H Sun, B van Breugel, J Crabbe, N Seedat, M van der Schaar
NeurIPS 2023 (Advances in Neural Information Processing Systems 37), 2023
52023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
H Sun, A Hüyük, D Jarrett, M van der Schaar
NeurIPS 2023 (Advances in Neural Information Processing Systems 37), 2023
4*2023
Neural Laplace Control for Continuous-time Delayed Systems
S Holt, A Hüyük, Z Qian, H Sun, M van der Schaar
AISTATS 2023 (The 26th International Conference on Artificial Intelligence …, 2023
42023
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond
H Sun
arXiv preprint arXiv:2310.06147, 2023
32023
Unsupervised star galaxy classification with Cascade Variational Auto-Encoder
H Sun, J Guo, EJ Kim, RJ Brunner
arXiv preprint arXiv:1910.14056, 2019
22019
Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control
B Fang, Z Peng, H Sun, Q Zhang
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
12022
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