ICML 2024 Workshop AutoRL Submissions

Dataset distillation for offline reinforcement learning
ICML 2024 Workshop AutoRL Submission37 Authors
- 01 Jun 2024 (modified: 17 Jun 2024)
- Submitted to AutoRL@ICML 2024
- Readers: Everyone
A Formal Unification of Generalization in Deep Reinforcement Learning
ICML 2024 Workshop AutoRL Submission36 Authors
- 01 Jun 2024 (modified: 17 Jun 2024)
- Submitted to AutoRL@ICML 2024
- Readers: Everyone
Learning In-Context Decision Making with Synthetic MDPs
Akarsh Kumar, Chris Lu, Louis Kirsch, Phillip Isola
- Published: 17 Jun 2024, Last Modified: 02 Jul 2024
- AutoRL@ICML 2024
- Readers: Everyone
A Demonstration is worth a Million Exploration Steps?
ICML 2024 Workshop AutoRL Submission33 Authors
- 31 May 2024 (modified: 17 Jun 2024)
- Submitted to AutoRL@ICML 2024
- Readers: Everyone
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Ping-Chun Hsieh
- Published: 17 Jun 2024, Last Modified: 01 Jul 2024
- AutoRL@ICML 2024
- Readers: Everyone
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
Shenao Zhang, Donghan Yu, Hiteshi Sharma, Ziyi Yang, Shuohang Wang, Hany Hassan Awadalla, Zhaoran Wang
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Categorical Decision Mamba : On Tractable Binning in Sequence Model based Reinforcement Learning
ICML 2024 Workshop AutoRL Submission29 Authors
- 30 May 2024 (modified: 17 Jun 2024)
- Submitted to AutoRL@ICML 2024
- Readers: Everyone
Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations
Hanping Zhang, Yuhong Guo
- Published: 17 Jun 2024, Last Modified: 25 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Safe Reinforcement Learning with Contrastive Risk Prediction
ICML 2024 Workshop AutoRL Submission27 Authors
- 29 May 2024 (modified: 17 Jun 2024)
- Submitted to AutoRL@ICML 2024
- Readers: Everyone
Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search
Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu
- Published: 17 Jun 2024, Last Modified: 02 Oct 2024
- AutoRL@ICML 2024
- Readers: Everyone
STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making
Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh Sharifi, Dirk Bergemann, Zhuoran Yang
- Published: 17 Jun 2024, Last Modified: 01 Jul 2024
- AutoRL@ICML 2024
- Readers: Everyone
A Model Selection Framework for Learning Rate-Free Reinforcement Learning
ICML 2024 Workshop AutoRL Submission24 Authors
- 24 May 2024 (modified: 17 Jun 2024)
- Submitted to AutoRL@ICML 2024
- Readers: Everyone
Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels
Zhuorui Ye, Stephanie Milani, Fei Fang, Geoff Gordon
- Published: 17 Jun 2024, Last Modified: 01 Jul 2024
- AutoRL@ICML 2024
- Readers: Everyone
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Cong Lu, Shengran Hu, Jeff Clune
- Published: 17 Jun 2024, Last Modified: 18 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Accounting for hyperparameter tuning for online reinforcement learning
ICML 2024 Workshop AutoRL Submission21 Authors
- 24 May 2024 (modified: 17 Jun 2024)
- Submitted to AutoRL@ICML 2024
- Readers: Everyone
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
Vahid Balazadeh, Keertana Chidambaram, Viet Nguyen, Rahul Krishnan, Vasilis Syrgkanis
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
Katie Kang, Eric Wallace, Claire Tomlin, Aviral Kumar, Sergey Levine
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Transfer Learning for Deep Reinforcement Learning
ICML 2024 Workshop AutoRL Submission18 Authors
- 23 May 2024 (modified: 17 Jun 2024)
- Submitted to AutoRL@ICML 2024
- Readers: Everyone
Discovering Preference Optimization Algorithms with and for Large Language Models
Chris Lu, Samuel Holt, Claudio Fanconi, Alex James Chan, Jakob Nicolaus Foerster, Mihaela van der Schaar, Robert Tjarko Lange
- Published: 17 Jun 2024, Last Modified: 30 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Trace is the New AutoDiff — Unlocking Efficient Optimization of Computational Workflows
Ching-An Cheng, Allen Nie, Adith Swaminathan
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?
Denis Tarasov, Kirill Brilliantov, Dmitrii Kharlapenko
- Published: 17 Jun 2024, Last Modified: 22 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo
- Published: 17 Jun 2024, Last Modified: 26 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
Eduardo Pignatelli, Johan Ferret, Davide Paglieri, Samuel Coward, Tim Rocktäschel, Edward Grefenstette, Laura Toni
- Published: 17 Jun 2024, Last Modified: 01 Jul 2024
- AutoRL@ICML 2024
- Readers: Everyone
GPT-HyperAgent: Scalable Uncertainty Estimation and Exploration for Foundation Model Decisions
Yingru Li, Jiawei Xu, Zhi-Quan Luo
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- AutoRL@ICML 2024
- Readers: Everyone
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
William Chen, Oier Mees, Aviral Kumar, Sergey Levine
- Published: 17 Jun 2024, Last Modified: 17 Jun 2024
- AutoRL@ICML 2024
- Readers: Everyone