How Do We Teach Reinforcement Learning Agents Human Preferences? | HackerNoon
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from Hackernoon2 months ago
Designing an effective reward function for reinforcement learning agents is crucial yet challenging, as it must align closely with nuanced human preferences to motivate desirable behaviors.
Hackernoonhttps://hackernoon.com/how-do-we-teach-reinforcement-learning-agents-human-preferences
The complexity of human preferences makes it difficult to create rewards that unambiguously instruct the agents on how to act in varied scenarios, leading to potential misalignments.
Hackernoonhttps://hackernoon.com/how-do-we-teach-reinforcement-learning-agents-human-preferences
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#reinforcement-learning #reward-function-design #human-preferences #machine-learning #ai-alignment
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