Track 3 Session 2: Spotlights Part 1

Dec 10, 2019

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- Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement - Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity - A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning - Learning Compositional Neural Programs with Recursive Tree Search and Planning - Guided Meta-Policy Search

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Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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