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Inductive Biases, Invariances and Generalization in RL (BIG) About How to Participate Livestream Schedule Speakers & Panelists Submissions Papers Inductive Biases, Invariances and Generalization in RL (BIG) International Conference on Machine Learning (ICML) July 18, 2020 @BIGICML · #BIGICML Contact: generalizationworkshop@gmail.com One proposed solution towards the goal of designing machines that can extrapolate experience across environments and tasks, are inductive biases. Providing and starting algorithms with inductive biases might help to learn invariances e.g. a causal graph structure, which in turn will allow the agent to generalize across environments and tasks. While some inductive biases are already available and correspond to common knowledge, one key requirement to learn inductive biases from data seems to be the possibility to perform and learn from interventions. This assumption is partially motivated by the accepted hypothesis in psy...
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