State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend

no code implementations • 17 Apr 2024 • Fei Cui, Jiaojiao Fang, Xiaojiang Wu, Zelong Lai, Mengke Yang, Menghan Jia, Guizhong Liu

In this paper, we propose a state-space decomposition stochastic video prediction model that decomposes the overall video frame generation into deterministic appearance prediction and stochastic motion prediction.

motion prediction Video Prediction

Landmark Guided Active Exploration with State-specific Balance Coefficient

no code implementations • 30 Jun 2023 • Fei Cui, Jiaojiao Fang, Mengke Yang, Guizhong Liu

Goal-conditioned hierarchical reinforcement learning (GCHRL) decomposes long-horizon tasks into sub-tasks through a hierarchical framework and it has demonstrated promising results across a variety of domains.

Hierarchical Reinforcement Learning