ICML 2023 Workshop Frontiers4LCD Submissions

Modeling Accurate Long Rollouts with Temporal Neural PDE Solvers
Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard E Turner, Johannes Brandstetter
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Fast Approximation of the Generalized Sliced-Wasserstein Distance
Le Quang Dung, Huy Nguyen, Khai Nguyen, Nhat Ho
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning
Shixi Lian, Yi Ma, Jinyi Liu, Jianye HAO, YAN ZHENG, Zhaopeng Meng
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
On the Generalization Capacities of Neural Controlled Differential Equations
Linus Bleistein, Agathe Guilloux
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Factor Learning Portfolio Optimization Informed by Continuous-Time Finance Models
Sinong Geng, houssam nassif, Zhaobin Kuang, Anders Max Reppen, K. Ronnie Sircar
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Modular Hierarchical Reinforcement Learning for Robotics: Improving Scalability and Generalizability
Mihai Anca, Mark F. Hansen, Matthew Studley
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Parameterized projected Bellman operator
Théo Vincent, Alberto Maria Metelli, Jan Peters, Marcello Restelli, Carlo D'Eramo
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
Kai Zhao, Yi Ma, Jinyi Liu, Jianye HAO, YAN ZHENG, Zhaopeng Meng
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Model-based Policy Optimization under Approximate Bayesian Inference
Chaoqi Wang, Yuxin Chen, Kevin Patrick Murphy
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Bridging RL Theory and Practice with the Effective Horizon
Cassidy Laidlaw, Stuart Russell, Anca Dragan
- Published: 19 Jun 2023, Last Modified: 25 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
On the Imitation of Non-Markovian Demonstrations: From Low-Level Stability to High-Level Planning
Adam Block, Daniel Pfrommer, Max Simchowitz
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
On Convergence of Approximate Schr\"{o}dinger Bridge with Bounded Cost
Wei Deng, Yu Chen, Nicole Tianjiao Yang, Hengrong Du, Qi Feng, Ricky T. Q. Chen
- Published: 19 Jun 2023, Last Modified: 05 Aug 2023
- Frontiers4LCD
- Readers: Everyone
Online Control with Adversarial Disturbance for Continuous-time Linear Systems
Jingwei Li, Jing Dong, Baoxiang Wang, Jingzhao Zhang
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
A Flexible Diffusion Model
weitao Du, He Zhang, Tao Yang, Yuanqi Du
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Synthetic Experience Replay
Cong Lu, Philip J. Ball, Yee Whye Teh, Jack Parker-Holder
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Fairness In a Non-Stationary Environment From an Optimal Control Perspective
Zhuotong Chen, Qianxiao Li, Zheng Zhang
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Physics-informed Localized Learning for Advection-Diffusion-Reaction Systems
Surya Sathujoda, Soham M Sheth
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
On the effectiveness of neural priors in modeling dynamical systems
Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)
Amartya Mukherjee, Jun Liu
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs
Amartya Mukherjee, Jun Liu
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Optimization or Architecture: What Matters in Non-Linear Filtering?
Ido Greenberg, Netanel Yannay, Shie Mannor
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion
Lucas Böttcher
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone