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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| Published in: | Proceedings of ACM on programming languages Vol. 8; no. PLDI; pp. 1730 - 1754 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York, NY, USA
ACM
20.06.2024
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| Subjects: | |
| ISSN: | 2475-1421, 2475-1421 |
| Online Access: | Get full text |
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