Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AIby Hadassah Harland, Richard…
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignmentby Weichao Zhou, Wenchao LiFirst submitted…
Towards Reliable Alignment: Uncertainty-aware RLHFby Debangshu Banerjee, Aditya GopalanFirst submitted to arxiv on: 31 Oct…
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learningby JaeYoon Kim, Junyu Xuan, Christy Liang, Farookh…
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithmby Sattar Vakili, Julia…
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learningby Yujie Zhao, Jose Efraim Aguilar Escamill, Weyl Lu,…
Prosody as a Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implicationsby Matilda Knierim,…
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learningby Qiliang Chen, Babak…
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approachby Qiliang Chen, Babak…
Stepping Out of the Shadows: Reinforcement Learning in Shadow Modeby Philipp Gassert, Matthias AlthoffFirst submitted…