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View All NewsThis research looks at why Predictive Inverse Dynamics Models often outperform standard Behavior Cloning in imitation learning. By using simple predictions of what happens next, PIDMs reduce ambiguity and learn from far fewer demonstrations. The post Rethinking imitation learning with Predictive Inverse Dynamics Models appeared first on Microsoft Research.
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| Model Name | Model Family | Score |
|---|---|---|
| Claude 3 Opus | Anthropic | 86.8% |
| GPT-4 Turbo | OpenAI | 86.5% |
| GPT-4 | OpenAI | 86.4% |
| Gemini 1.5 Pro | 85.9% | |
| Llama 3 70B | Meta | 82% |
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