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cs.LG2024
Black Box Meta-Learning Intrinsic Rewards
Octavio Pappalardo, Rodrigo Ramele, Juan Miguel Santos
The broader application of reinforcement learning (RL) is limited by challenges including data efficiency, generalization capability, and ability to learn in sparse-reward environm…
cs.CV2024
A Strong Inductive Bias: Gzip for binary image classification
Marco Scilipoti, Marina Fuster, Rodrigo Ramele
Deep learning networks have become the de-facto standard in Computer Vision for industry and research. However, recent developments in their cousin, Natural Language Processing (NL…