ICML 2023 Workshop Frontiers4LCD Submissions

Randomized methods for computing optimal transport without regularization and their convergence analysis
Yue Xie, Zhongjian Wang, Zhiwen Zhang
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Sub-linear Regret in Adaptive Model Predictive Control
Damianos Tranos, Alexandre Proutiere
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation
Qiwen Cui, Kaiqing Zhang, Simon Shaolei Du
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Offline Goal-Conditioned RL with Latent States as Actions
Seohong Park, Dibya Ghosh, Benjamin Eysenbach, Sergey Levine
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Variational quantum dynamics of two-dimensional rotor models
Matija Medvidović, Dries Sels
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Sample Complexity of Hierarchical Decompositions in Markov Decision Processes
Arnaud Robert, Ciara Pike-Burke, Aldo A. Faisal
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Boosting Off-policy RL with Policy Representation and Policy-extended Value Function Approximator
Min Zhang, Jianye HAO, Hongyao Tang, YAN ZHENG
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Guide Your Agent with Adaptive Multimodal Rewards
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Neural Optimal Transport with Lagrangian Costs
Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Deep Equilibrium Based Neural Operators for Steady-State PDEs
Tanya Marwah, Ashwini Pokle, J Zico Kolter, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Youfang Lin, Shou cheng Song, Han Wang
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Nonlinear Wasserstein Distributionally Robust Optimal Control
Zhengang Zhong, Jia-Jie Zhu
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models
Nicolò Botteghi, Federico Califano, Mannes Poel, Christoph Brune
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Coupled Gradient Flows for Strategic Non-Local Distribution Shift
Lauren Conger, Franca Hoffmann, Eric Mazumdar, Lillian J. Ratliff
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations
Minshuo Chen, Yu Bai, H. Vincent Poor, Mengdi Wang
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
LEAD: Min-Max Optimization from a Physical Perspective
Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Stochastic Linear Bandits with Unknown Safety Constraints and Local Feedback
K Nithin Varma, Sahin Lale, Anima Anandkumar
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Distributional Distance Classifiers for Goal-Conditioned Reinforcement Learning
Ravi Tej Akella, Benjamin Eysenbach, Jeff Schneider, Ruslan Salakhutdinov
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Taylorformer: Probabalistic Modelling for Random Processes including Time Series
Omer Nivron, Raghul Parthipan, Damon Wischik
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Policy Gradient Algorithms Implicitly Optimize by Continuation
Adrien Bolland, Gilles Louppe, Damien Ernst
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Randomly Coupled Oscillators for Time Series Processing
Andrea Ceni, Andrea Cossu, Jingyue Liu, Maximilian Stölzle, Cosimo Della Santina, Claudio Gallicchio, Davide Bacciu
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Christopher Diehl, Tobias Klosek, Martin Krueger, Nils Murzyn, Torsten Bertram
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao
- Published: 19 Jun 2023, Last Modified: 03 Aug 2023
- Frontiers4LCD
- Readers: Everyone
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Markov Chains
Yilong Qin, Andrej Risteski
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Yingchen Xu, Rohan Chitnis, Bobak T Hashemi, Lucas Lehnert, Urun Dogan, Zheqing Zhu, Olivier Delalleau
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone