Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
Recently, there are many efforts attempting to learn useful policies for continuous control in visual reinforcement learning (RL). In this scenario, it is important to learn a generalizable policy, as the testing environment may differ from the training environment, e.g., there exist distractors dur...
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| Published in: | The Journal of artificial intelligence research Vol. 81; pp. 1 - 42 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
San Francisco
AI Access Foundation
2024
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| Subjects: | |
| ISSN: | 1076-9757, 1076-9757, 1943-5037 |
| Online Access: | Get full text |
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