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Found 3 papers, 1 papers with code
Predicting the Future with Simple World Models
Abstracting the dynamics of the environment with simple models can have several benefits.
Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks
Humans possess the ability to identify and generalize relevant features of natural objects, which aids them in various situations.
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning
We argue that two principles can help bridge this gap: latent learning and parsimonious dynamics.
Model-based Reinforcement Learning
reinforcement-learning
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