22 citations · 24 across the 4 of their papers we have counts for
4 papers
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
Jiayu Chen, Le Xu, Aravind Venugopal +1
Offline reinforcement learning (RL) offers a powerful paradigm for data-driven control. Compared to model-free approaches, offline model-based RL (MBRL) explicitly learns a world m…
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen, Le Xu, Wentse Chen +1
Offline reinforcement learning (RL) is a powerful approach for data-driven decision-making and control. Compared to model-free methods, offline model-based reinforcement learning (…
Sample Efficient Preference Alignment in LLMs via Active Exploration
Viraj Mehta, Syrine Belakaria, Vikramjeet Das +7
Preference-based feedback is important for many applications in machine learning where evaluation of a reward function is not feasible. Notable recent examples arise in preference…
Deep Learning with Sets and Point Clouds
Siamak Ravanbakhsh, Jeff Schneider, Barnabas Poczos
We introduce a simple permutation equivariant layer for deep learning with set structure.This type of layer, obtained by parameter-sharing, has a simple implementation and linear-t…