A multi-layer framework combining POMDP-level strategic analysis and policy-level Q-value/PER tracking to explain RL-based cyber attacker behavior in simulated environments.
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Rainbow DQN with kinematics-aware design optimization enables reliable cooperative insertion by Delta and 3-RRS robots in a high-fidelity simulator.
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Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents
A multi-layer framework combining POMDP-level strategic analysis and policy-level Q-value/PER tracking to explain RL-based cyber attacker behavior in simulated environments.
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Rainbow Deep Q-Learning with Kinematics-Aware Design for Cooperative Delta and 3-RRS Parallel Robot Insertion
Rainbow DQN with kinematics-aware design optimization enables reliable cooperative insertion by Delta and 3-RRS robots in a high-fidelity simulator.