offline data
Data that is collected and stored for analysis and training purposes without being continuously updated, often used in scenarios where real-time processing is either impractical or unnecessary.
- Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
- Imagined Autocurricula
- Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data
- Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
- ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge