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New reinforcement learning method promises efficient navigation in complex environments.
The article introduces a new method called S-learning for reinforcement learning, which doesn't require adjusting parameters. The researchers compared it to existing methods like AHC and Q-learning, focusing on factors like efficiency and accuracy. S-learning was found to be effective in solving maze navigation tasks, showing promise for practical applications.