Papers with Bootstrapped Policy Learning

1 papers
Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping (2024.emnlp-main)

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Challenge: Despite the promise of reinforcement learning, achieving seamless knowledge transitions in complex dialogue environments is difficult.
Approach: They propose a Bootstrapped Policy Learning framework which adaptively tailors progressively challenging subgoal curriculum for each complex goal through goal shaping.
Outcome: The proposed framework has shown to be effective across four publicly available datasets with different difficulty levels.

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