ICML 2024 Workshop ARLET Submissions

Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Hannes Eriksson, Tommy Tram, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
A Theoretical Framework for Partially-Observed Reward States in RLHF
Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity
Guhao Feng, Han Zhong
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Transductive Active Learning with Application to Safe Bayesian Optimization
Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Oral
- Readers: Everyone
Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning
Jia Wan, Sean R. Sinclair, Devavrat Shah, Martin J Wainwright
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Andreas Schlaginhaufen, Maryam Kamgarpour
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
How Does Return Distribution in Distributional Reinforcement Learning Help Optimization?
Ke Sun, Bei Jiang, Linglong Kong
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Offline RL via Feature-Occupancy Gradient Ascent
Gergely Neu, Nneka Okolo
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
A Case for Validation Buffer in Pessimistic Actor-Critic
Michal Nauman, Mateusz Ostaszewski, Marek Cygan
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Survive on Planet Pandora: Robust Cross-Domain RL Under Distinct State-Action Representations
Kuan-Chen Pan, MingHong Chen, Xi Liu, Ping-Chun Hsieh
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Improved Algorithms for Adversarial Bandits with Unbounded Losses
Mingyu Chen, Xuezhou Zhang
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Oral
- Readers: Everyone
Realtime Reinforcement Learning: Towards Rapid Asynchronous Deployment of Large Models
Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish
- Published: 19 Jun 2024, Last Modified: 03 Oct 2024
- ARLET 2024 Poster
- Readers: Everyone
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
Alex DeWeese, Guannan Qu
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation
Chanwoo Park, Mingyang Liu, Dingwen Kong, Kaiqing Zhang, Asuman E. Ozdaglar
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Information Theoretic Guarantees For Policy Alignment In Large Language Models
Youssef Mroueh
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Oral
- Readers: Everyone
Delayed Adversarial Attacks on Stochastic Multi-Armed Bandits
Pierriccardo Olivieri, Matteo Castiglioni, Nicola Gatti
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Markov Persuasion Processes: How to Persuade Multiple Agents From Scratch
Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Nicola Gatti, Alberto Marchesi
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Adaptive Two-Level Quasi-Monte Carlo for Soft Actor-Critic
Du Ouyang, Zhenpeng Shi, Aodong Guo, Huaze Tang, Hejin Wang, Chao Wang, Wenbo Ding
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Onur Celik, Aleksandar Taranovic, Gerhard Neumann
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Partially Observable Multi-Agent Reinforcement Learning using Mean Field Control
Kai Cui, Sascha H. Hauck, Christian Fabian, Heinz Koeppl
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Oral
- Readers: Everyone
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
Matteo Bettini, Amanda Prorok, Vincent Moens
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
Michal Nauman, Marek Cygan
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control
Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Miłoś, Marek Cygan
- Published: 19 Jun 2024, Last Modified: 26 Jul 2024
- ARLET 2024 Poster
- Readers: Everyone