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approfondimento - Zero-Shot Generalization in Reinforcement Learning
Associative Latent Disentanglement (ALDA) for Zero-Shot Generalization in Vision-Based Reinforcement Learning
Combining disentangled representation learning with associative memory enables vision-based reinforcement learning agents to achieve zero-shot generalization on unseen task variations without relying on data augmentation.
Improving Zero-Shot Generalization in Reinforcement Learning by Learning Behavior-Specific Context Representations
Jointly learning context representations and policy enables improved zero-shot generalization in reinforcement learning.
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