Schedule Spring - 2025

Paper

Kasaei, Mohammadreza, et al. "A Data-efficient Neural ODE Framework for Optimal Control of Soft Manipulators." The Conference on Robot Learning 2023. PMLR, 2023.

Wang, Jun, et al. "Conformal temporal logic planning using large language models." arXiv preprint arXiv:2309.10092 (2023).

Pan, Chaoyi, et al. "Model-based diffusion for trajectory optimization." arXiv preprint arXiv:2407.01573 (2024).

Break!

Updated: Haarnoja, Tuomas, et al. "Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor." International conference on machine learning. PMLR, 2018.

Previously: Mark, Max Sobol, et al. "Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone." arXiv preprint arXiv:2412.06685 (2024).

Kazim, Muhammad, et al. "Recent advances in path integral control for trajectory optimization: An overview in theoretical and algorithmic perspectives." Annual Reviews in Control 57 (2024): 100931.

Laine, Forrest, et al. "The computation of approximate generalized feedback nash equilibria." SIAM Journal on Optimization 33.1 (2023): 294-318.

Break!

Dawson, Charles, Sicun Gao, and Chuchu Fan. "Safe control with learned certificates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control." IEEE Transactions on Robotics 39.3 (2023): 1749-1767.

Shen, Jiajun, et al. "Composite learning adaptive control without excitation condition." arXiv preprint arXiv:2408.01731 (2024).

Tonkens, Sander, et al. "Patching neural barrier functions using hamilton-jacobi reachability." arXiv preprint arXiv:2304.09850 (2023).

Break!

Liu, Shiwen, et al. "A driving intention prediction method based on hidden Markov model for autonomous driving." Computer Communications 157 (2020): 143-149.

Huang, Wenhui, et al. "Safety-aware human-in-the-loop reinforcement learning with shared control for autonomous driving." IEEE Transactions on Intelligent Transportation Systems (2024).