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Author

Wen-De Yang

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Open access Oct 2026

FisherShield: Sequential D-Optimal Anti-Rewards for Deployment-Time Reward Privacy in Reinforcement Learning

Reinforcement learning is increasingly deployed in autonomous systems whose reward functions encode operational priorities and decision-making objectives. However, observable behavior can enable external observers to infer sensitive reward parameters through inverse reinforcement learning. Existing deployment-time defe...

Guang-Yu Pan, Yao Chen, Bo Hou et al. · 0 citations
Open access Aug 2026

Dual-critic constrained deceptive Q-learning for deployment-time policy protection

The Dual-Critic Constrained Deceptive Q-Learning (DCD-Q) method is proposed, a deployment-time trajectory protection framework that aims to reduce the information leaked by released trajectories while preserving acceptable task performance.

Guang-Yu Pan, Bo Hou, Yao Chen et al. · 0 citations

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