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Found 4 papers, 1 papers with code
Safety-Critical Online Control with Adversarial Disturbances
We propose an iterative approach to the synthesis of the controller by solving a modified discrete-time Riccati equation.
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats
Our game model has imperfect information as the players do not have information about the actions of the opponent.
Computer Science and Game Theory Cryptography and Security
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
The output of the feedback neural network is converted to a shaping reward that is augmented to the reward provided by the environment.
Potential-Based Advice for Stochastic Policy Learning
This paper augments the reward received by a reinforcement learning agent with potential functions in order to help the agent learn (possibly stochastic) optimal policies.
