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Cooperation for Scalable Supervision of Autonomy in Mixed Traffic
A key takeaway is the potential value of cooperation in enabling the deployment of autonomy at scale.
Autonomous Attack Mitigation for Industrial Control Systems
The proposed deep reinforcement learning approach outperforms a fully automated playbook method in simulation, taking less disruptive actions while also defending more nodes on the network.
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning
Our theory prescribes a special non-uniform distribution to cancel this effect, and we propose a stratified sampling scheme to efficiently implement it.
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