Reinforcement learning trains control policies to expose agent state through observable actions, demonstrated in an aircraft tracking simulation with little loss in primary task performance.
Closed-loop dynamics o f cooperative vehicle formations with parallel estima- tors and communication,
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Training Observable Control Policies to Expose Agent State Through Actions
Reinforcement learning trains control policies to expose agent state through observable actions, demonstrated in an aircraft tracking simulation with little loss in primary task performance.