2 citations · 3 across the 5 of their papers we have counts for
5 papers
PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement
Tuo Zhang, Alin-Ionut Popa, Yan Xu +2
Large language model (LLM)-based agents frequently generate seemingly coherent plans that fail upon execution due to infeasible actions, constraint violations, and compounding erro…
Self Paced Gaussian Contextual Reinforcement Learning
Mohsen Sahraei Ardakani, Rui Song
Curriculum learning improves reinforcement learning (RL) efficiency by sequencing tasks from simple to complex. However, many self-paced curriculum methods rely on computationally…
A Review of Causal Decision Making
Lin Ge, Hengrui Cai, Runzhe Wan +2
To make effective decisions, it is important to have a thorough understanding of the causal relationships among actions, environments, and outcomes. This review aims to surface thr…
A Review of Reinforcement Learning in Financial Applications
Yahui Bai, Yuhe Gao, Runzhe Wan +2
In recent years, there has been a growing trend of applying Reinforcement Learning (RL) in financial applications. This approach has shown great potential to solve decision-making…
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
Yu Liu, Runzhe Wan, James McQueen +3
The selection of the assumed effect size (AES) critically determines the duration of an experiment, and hence its accuracy and efficiency. Traditionally, experimenters determine AE…