🏢 Universitat Pompeu Fabra
Controlled maximal variability along with reliable performance in recurrent neural networks
·2025 words·10 mins·
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Machine Learning
Reinforcement Learning
🏢 Universitat Pompeu Fabra
NeuroMOP, a novel neural principle, maximizes neural variability while ensuring reliable performance in recurrent neural networks, offering new insights into brain function and artificial intelligence…
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
·2436 words·12 mins·
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AI Applications
Robotics
🏢 Universitat Pompeu Fabra
BricksRL: A low-cost, open-source platform democratizes robotics and reinforcement learning research using LEGO, enabling accessible real-world experiments.
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
·1675 words·8 mins·
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AI Theory
Representation Learning
🏢 Universitat Pompeu Fabra
Bisimulation metrics and optimal transport distances are equivalent and can be computed efficiently using a novel Sinkhorn Value Iteration algorithm.