Offline Reinforcement Learning with Conformal Prediction
Tackle real-world decision-making challenges with our innovative approach that combines the power of Offline Reinforcement Learning and the reliability of Conformal Prediction.
Learn effective policies from static datasets without direct environment interaction.
Leverage Conformal Prediction for robust confidence intervals on Q-value estimates.
Mitigate overestimation risks and ensure a more stable learning process.