CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning
Ibne Farabi Shihab, Sanjeda Akter, Abu Sa-Adat Mohamed Moon-Im Al Ahsan, Md Najmus Swaqeeb, Anuj Sharma
cs.LG
Submitted: 2026-08-07
Updated: 2026-08-11
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Conformal Risk Control
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
- Training Verifiers to Solve Math Word Problems
- D4RL: Datasets for Deep Data-Driven Reinforcement Learning
- RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
- Offline Reinforcement Learning with Implicit Q-Learning
- Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
- Prioritized Experience Replay
- Active Learning for Convolutional Neural Networks: A Core-Set Approach
- Qwen2.5 Technical Report
- Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
- Boosting Offline Reinforcement Learning via Data Rebalancing
- Decoupled Prioritized Resampling for Offline RL
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