ICML 2024 Workshop ARLET Submissions

REBEL: Reinforcement Learning via Regressing Relative Rewards
Zhaolin Gao, Jonathan Daniel Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Oral
- Readers: Everyone
Towards Zero-Shot Generalization in Offline Reinforcement Learning
Zhiyong Wang, Chen Yang, John C.S. Lui, Dongruo Zhou
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Bedi
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Safe exploration in reproducing kernel Hilbert spaces
Abdullah Tokmak, Kiran G. Krishnan, Thomas B. Schön, Dominik Baumann
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
Batuhan Yardim, Niao He
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
Philipp Becker, Sebastian Mossburger, Fabian Otto, Gerhard Neumann
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Reinforcement Learning from Bagged Reward
Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama
- Published: 26 Jul 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
Mikhail Terekhov, Caglar Gulcehre
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Enhancing Actor-Critic Decision-Making with Afterstate Models for Continuous Control
Norio Kosaka
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Advantage Alignment Algorithms
Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans, Tianyu Zhang, Aaron Courville
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Batch Learning via Log-Sum-Exponential Estimator from Logged Bandit Feedback
Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, Hamid R. Rabiee
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
Jingwu Tang, Gokul Swamy, Fei Fang, Steven Wu
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation
Kuo-Han Hung, Pang-Chi Lo, Jia-Fong Yeh, Han-Yuan Hsu, Yi-Ting Chen, Winston H. Hsu
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Is Value Learning Really the Main Bottleneck in Offline RL?
Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Oral
- Readers: Everyone
Functional Acceleration for Policy Mirror Descent
Veronica Chelu, Doina Precup
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Policy Gradient Methods with Adaptive Policy Spaces
Gianmarco Tedeschi, Matteo Papini, Marcello Restelli
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Oracle-Efficient Reinforcement Learning for Max Value Ensembles
Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Efficient Offline Learning of Ranking Policies via Top-$k$ Policy Decomposition
Ren Kishimoto, Koichi Tanaka, Haruka Kiyohara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Adaptive Foundation Models for Online Decisions: HyperAgent with Fast Incremental Uncertainty Estimation
Yingru Li, Jiawei Xu, Zhi-Quan Luo
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
Skander Moalla, Andrea Miele, Razvan Pascanu, Caglar Gulcehre
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
vMF-exp: von Mises-Fisher Exploration of Large Action Sets with Hyperspherical Embeddings
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Théo Bontempelli, Thomas Bouabça, Tristan Cazenave
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Learning to Steer Markovian Agents under Model Uncertainty
Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Transferable Reinforcement Learning via Generalized Occupancy Models
Chuning Zhu, Xinqi Wang, Tyler Han, Simon Shaolei Du, Abhishek Gupta
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dorfler, Andreas Krause
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
Quentin Gallouédec, Edward Emanuel Beeching, Clément ROMAC, Emmanuel Dellandrea
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone