3 papers
cs.MA2024
JointPPO: Diving Deeper into the Effectiveness of PPO in Multi-Agent Reinforcement Learning
Chenxing Liu, Guizhong Liu
While Centralized Training with Decentralized Execution (CTDE) has become the prevailing paradigm in Multi-Agent Reinforcement Learning (MARL), it may not be suitable for scenarios…
cs.CV2024
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend
Fei Cui, Jiaojiao Fang, Xiaojiang Wu +4
Stochastic video prediction enables the consideration of uncertainty in future motion, thereby providing a better reflection of the dynamic nature of the environment. Stochastic vi…
cs.LG2024
Landmark Guided Active Exploration with State-specific Balance Coefficient
Fei Cui, Jiaojiao Fang, Mengke Yang +1
Goal-conditioned hierarchical reinforcement learning (GCHRL) decomposes long-horizon tasks into sub-tasks through a hierarchical framework and it has demonstrated promising results…