The SuReLI blogLatest news from the Supaero Reinforcement Learning Initiative
Posts
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Learning Abstract World Models with a Group-Structured Latent Space
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Reachability Graph Learning
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Reachability Graph Learning accepted in TMLR
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Learning Heuristic for Complex Assignment and Scheduling Problems
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Curiosity Creates Diversity in Policy Search
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We’re at EWRL
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Works accepted at AutoML
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Dr. David Bertoin!
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“Equivariance-Aware Architectural Optimization of Neural Networks” accepted at ICLR
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NeurOps: Neural Operations for structured architectural optimization of ANNs
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NeurIPS
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Dr. Valentin Guillet!
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“Disentanglement by Cyclic Reconstruction” accepted in IEEE NNLS
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EWRL 2022
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“Look where you look! Saliency-guided Q-networks for visual RL tasks” accepted at NeurIPS
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“Structural Learning in Artificial Neural Networks: A Neural Operator Perspective” accepted in TMLR
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“Neural Distillation as a State Representation Bottleneck in Reinforcement Learning” accepted at CoLLAs
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“When, where, and how to add new neurons to ANNs” accepted at AutoML
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“Large Batch Experience Replay” is accepted as a long presentation at ICML 2022
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“LUCIE: an evaluation and selection method for stochastic problems” accepted at GECCO
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Plenary talk at the Mobilit.AI forum
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“Local Feature Swapping for Generalization in Reinforcement Learning” accepted at ICLR 2022
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