| Nonautonomous characteristics of lump solutions for a (2+ 1)-dimensional Korteweg–de Vries equation with variable coefficients FP Chen, WQ Chen, L Wang, ZJ Ye Applied Mathematics Letters 96, 33-39, 2019 | 23 | 2019 |
| Probabilistic constraint for safety-critical reinforcement learning W Chen, D Subramanian, S Paternain IEEE Transactions on Automatic Control, 2024 | 19 | 2024 |
| The use of capsuled paraffin wax in low-temperature thermal energy storage applications: an experimental and numerical investigation A Ochman, WQ Chen, P Błasiak, M Pomorski, S Pietrowicz Energies 14 (3), 538, 2021 | 15 | 2021 |
| Dynamics of transformed nonlinear waves in the (3+ 1)-dimensional B-type Kadomtsev–Petviashvili equation I: Transitions mechanisms X Zhang, L Wang, WQ Chen, XM Yao, X Wang, YC Zhao Communications in Nonlinear Science and Numerical Simulation 105, 106070, 2022 | 12 | 2022 |
| Nonautonomous Motion Study on Accelerated and Decelerated Lump Waves for a (3+ 1)‐Dimensional Generalized Shallow Water Wave Equation with Variable Coefficients WQ Chen, QF Guan, CF Jiang, FF Zhang, L Wang Complexity 2019 (1), 6287461, 2019 | 12 | 2019 |
| Policy gradients for probabilistic constrained reinforcement learning W Chen, D Subramanian, S Paternain 57th Annual Conference on Information Sciences and Systems (CISS) (Oral), 1-6, 2023 | 7 | 2023 |
| Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search J Light, M Cai, W Chen, G Wang, X Chen, W Cheng, Y Yue, Z Hu ICLR 2025, 2024 | 3 | 2024 |
| Domain adaptation for offline reinforcement learning with limited samples W Chen, S Mishra, S Paternain arXiv preprint arXiv:2408.12136, 2024 | 2 | 2024 |
| PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making J Light, S Xing, Y Liu, W Chen, M Cai, X Chen, G Wang, W Cheng, Y Yue, ... arXiv preprint arXiv:2411.15998; NeurIPS 2024 Workshop, 2024 | 1 | 2024 |
| Adaptive primal-dual method for safe reinforcement learning W Chen, J Onyejizu, L Vu, L Hoang, D Subramanian, K Kar, S Mishra, ... AAMAS 2024 (Oral), 2024 | 1 | 2024 |
| Open Problems and Modern Solutions for Deep Reinforcement Learning W Chen arXiv preprint arXiv:2302.02298, 2023 | 1 | 2023 |
| Random Policy Enables In-Context Reinforcement Learning within Trust Horizons W Chen, S Paternain arXiv preprint arXiv:2410.19982; AAAI 2025 Workshop (Spotlight), 2024 | | 2024 |
| SAD: State-Action Distillation for In-Context Reinforcement Learning under Random Policies W Chen, S Paternain arXiv preprint arXiv:2410.19982, 2024 | | 2024 |
| A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms W Chen, MS Squillante, CW Wu, S Paternain arXiv preprint arXiv:2406.14753; AAAI 2025 Bridge (Oral), 2024 | | 2024 |
| Generalized constraint for probabilistic safe reinforcement learning W Chen, S Paternain 6th Annual Learning for Dynamics & Control Conference, 1606-1618, 2024 | | 2024 |
| Numerical simulation for the motions of nonautonomous solitary waves of a variable-coefficient forced Burgers equation via the lattice Boltzmann method Q Guan, W Chen, Y Li arXiv preprint arXiv:2212.01632, 2022 | | 2022 |
| Nonautonomous Motion Study on Accelerated and Decelerated Lump Waves for a-Dimensional Generalized Shallow Water Wave Equation with Variable Coefficients WQ Chen, QF Guan, CF Jiang, FF Zhang, L Wang | | 2019 |
| Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search J Light, M Cai, W Chen, G Wang, X Chen, W Cheng, Y Yue, Z Hu The Thirteenth International Conference on Learning Representations, 0 | | |
Santiago PaternainRensselaer Polytechnic InstituteVerified email at rpi.edu
