Rethinking Transformers in Solving POMDPs

1 code implementation • 27 May 2024 • Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon S. Du, Huazhe Xu

Sequential decision-making algorithms such as reinforcement learning (RL) in real-world scenarios inevitably face environments with partial observability.

Decision Making Reinforcement Learning (RL)

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

1 code implementation • 31 Oct 2023 • Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon S. Du, Huazhe Xu

Offline reinforcement learning (RL) aims to find a near-optimal policy using pre-collected datasets.

Few-Shot Learning Offline RL +1

A Novel Gradient Descent Least Squares (GDLS) Algorithm for Efficient SMV Gridless Line Spectrum Estimation with Applications in Tomographic SAR Imaging

no code implementations • 16 Mar 2022 • Ruizhe Shi, Zhe Zhang, Xiaolan Qiu, Chibiao Ding

Numerical simulations and real data experiments show that the proposed GDLS algorithm outperforms the state-of-the-art methods e. g., CS and ANM, in terms of estimation performances.