Generative Adversarial Imitation Learning presents a new general framework for directly extracting a policy from data, as if it were obtained by reinforcement learning following inverse reinforcement learning.
Source: Generative Adversarial Imitation LearningPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Imitation Learning | 37 | 43.02% |
Reinforcement Learning (RL) | 13 | 15.12% |
Reinforcement Learning | 8 | 9.30% |
Continuous Control | 5 | 5.81% |
Autonomous Vehicles | 2 | 2.33% |
Autonomous Driving | 2 | 2.33% |
Autonomous Navigation | 2 | 2.33% |
Diversity | 1 | 1.16% |
Federated Learning | 1 | 1.16% |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |