Reward-Guided Synthesis of Intelligent Agents with Control Structures

Deep reinforcement learning (RL) has led to encouraging successes in numerous challenging robotics applications. However, the lack of inductive biases to support logic deduction and generalization in the representation of a deep RL model causes it less effective in exploring complex long-horizon rob...

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Vydané v:	Proceedings of ACM on programming languages Ročník 8; číslo PLDI; s. 1730 - 1754
Hlavní autori:	Cui, Guofeng, Wang, Yuning, Qiu, Wenjie, Zhu, He
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY, USA ACM 20.06.2024
Predmet:	Automatic programming Software and its engineering Sequential Decision Making Program Synthesis
ISSN:	2475-1421, 2475-1421
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