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Training Novice Agents with Opponent Models by Γεωργιος Σκλεπαρης is a document available to read on EtoBox.
What is Training Novice Agents with Opponent Models about?
The document discusses using knowledgeable synthetic agents as opponents to train inexperienced agents in competitive social environments. It investigates how agents with different reinforcement learning characteristics, such as exploration-exploitation tradeoffs and learning rates, affect the learning progress of inexperienced agents. The study finds that equally inexperienced agents can diverge quickly in performance depending on which opponents they learn from, and that self-trained agents may have limit
- Author
- Γεωργιος Σκλεπαρης
- Language
- EN