Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces

Feb-17-2026, 10:29:21 GMT–Neural Information Processing Systems

We further discuss the sample complexity for a desired approximation accuracy.

feasibility, machine learning, reinforcement learning, (15 more...)

Neural Information Processing Systems

Feb-17-2026, 10:29:21 GMT

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Genre:
- Research Report > Experimental Study (0.93)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Reinforcement Learning (1.00)
  - Representation & Reasoning > Optimization (0.93)

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Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces

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