ICML 2023 Workshop Frontiers4LCD Submissions

Analyzing the Sample Complexity of Model-Free Opponent Shaping
Kitty Fung, Qizhen Zhang, Chris Lu, Timon Willi, Jakob Nicolaus Foerster
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
A Best Arm Identification Approach for Stochastic Rising Bandits
Alessandro Montenegro, Marco Mussi, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Tendiffpure: Tensorizing Diffusion Models for Purification
Derun Zhou, Mingyuan Bai, Qibin Zhao
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Continuous Vector Quantile Regression
Sanketh Vedula, Irene Tallini, Aviv A. Rosenberg, Marco Pegoraro, Emanuele Rodolà, Yaniv Romano, Alexander Bronstein
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Informed POMDP: Leveraging Additional Information in Model-Based RL
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Embedding Surfaces by Optimizing Neural Networks with Prescribed Riemannian Metric and Beyond
Yi Feng, Sizhe Li, Ioannis Panageas, Xiao Wang
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Taylor TD-learning
Michele Garibbo, Maxime Robeyns, Laurence Aitchison
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Toward Understanding Latent Model Learning in MuZero: A Case Study in Linear Quadratic Gaussian Control
Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra
- Published: 19 Jun 2023, Last Modified: 24 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Balancing exploration and exploitation in Partially Observed Linear Contextual Bandits via Thompson Sampling
Hongju Park, Mohamad Kazem Shirani Faradonbeh
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Leveraging Factored Action Spaces for Off-Policy Evaluation
Aaman Peter Rebello, Shengpu Tang, Jenna Wiens, Sonali Parbhoo
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Diffusion Model-Augmented Behavioral Cloning
Hsiang-Chun Wang, Shang-Fu Chen, Ming-Hao Hsu, Chun-Mao Lai, Shao-Hua Sun
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Unbalanced Diffusion Schrödinger Bridge
Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Aligned Diffusion Schrödinger Bridges
Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, Maria Rodriguez Martinez, Andreas Krause, Charlotte Bunne
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Dynamic Feature-based Newsvendor
Zexing Xu, Ziyi Chen, Xin Chen
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Equivalence Class Learning for GENERIC Systems
Baige Xu, Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Variational Principle and Variational Integrators for Neural Symplectic Forms
Yuhan Chen, Baige Xu, Takashi Matsubara, Takaharu Yaguchi
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning
Xinyang Lu, Flint Xiaofeng Fan, Tianying Wang
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Accelerated Policy Gradient: On the Nesterov Momentum for Reinforcement Learning
Yen-Ju Chen, Nai-Chieh Huang, Ping-Chun Hsieh
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Exponential weight averaging as damped harmonic motion
Jonathan Patsenker, Henry Li, Yuval Kluger
- Published: 19 Jun 2023, Last Modified: 25 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Algorithms for Optimal Adaptation ofDiffusion Models to Reward Functions
Krishnamurthy Dj Dvijotham, Shayegan Omidshafiei, Kimin Lee, Katherine M. Collins, Deepak Ramachandran, Adrian Weller, Mohammad Ghavamzadeh, Milad Nasr, Ying Fan, Jeremiah Zhe Liu
- Published: 19 Jun 2023, Last Modified: 26 Jul 2023
- Frontiers4LCD
- Readers: Everyone
On learning history-based policies for controlling Markov decision processes
Gandharv Patil, Aditya Mahajan, Doina Precup
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Visual Dexterity: In-hand Dexterous Manipulation from Depth
Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal
- Published: 19 Jun 2023, Last Modified: 23 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Learning from Sparse Offline Datasets via Conservative Density Estimation
Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
- Published: 19 Jun 2023, Last Modified: 25 Jul 2023
- Frontiers4LCD
- Readers: Everyone
Undo Maps: A Tool for Adapting Policies to Perceptual Distortions
Abhi Gupta, Ted Moskovitz, David Alvarez-Melis, Aldo Pacchiano
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone
When is Agnostic Reinforcement Learning Statistically Tractable?
Gene Li, Zeyu Jia, Alexander Rakhlin, Ayush Sekhari, Nathan Srebro
- Published: 19 Jun 2023, Last Modified: 09 Jul 2023
- Frontiers4LCD
- Readers: Everyone