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Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks.

, , , , и . SSCI, стр. 1346-1351. IEEE, (2023)

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Alain Schifferli

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Другие публикации лиц с тем же именем

Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?, , и . CoRR, (2022)Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share?, , и . Neural Comput. Appl., 35 (23): 16753-16780 (августа 2023)Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments., , , , и . CoRR, (2023)Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards., , и . SSCI, стр. 1414-1420. IEEE, (2023)Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks., , , , и . SSCI, стр. 1346-1351. IEEE, (2023)An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments., , и . CD-MAKE, том 13480 из Lecture Notes in Computer Science, стр. 201-220. Springer, (2022)Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards., , , и . IJCNN, стр. 1-10. IEEE, (2021)Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation., , и . SSCI, стр. 890-899. IEEE, (2022)