How can we address the issue of exploration-exploitation trade-off in reinforcement learning to enhance agent performance?

03 January 2024 0 9K Report

Exploration-exploitation trade-off is a crucial challenge in reinforcement learning. Balancing exploration for discovering optimal actions and exploiting known ones is pivotal. Seeking insights or methods to optimize this trade-off for improved agent learning and performance.

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