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On Avoidance Learning with Partial Observability
We study a framework where agents have to avoid aversive signals.
On the convergence of cycle detection for navigational reinforcement learning
We prove convergence of a cycle-detection learning algorithm on a class of tasks that we call reducible.
Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors
Each monotone-regular behavior can be implemented by a positive neural network with a delay of one time unit.
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