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Derniers dépôts
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Guillaume Matheron, Nicolas Perrin, Olivier Sigaud. PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning. Artificial Neural Networks and Machine Learning – ICANN 2020, Sep 2020, Bratislava, Slovakia. pp.295-307, ⟨10.1007/978-3-030-61616-8_24⟩. ⟨hal-03080918⟩
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Guillaume Matheron, Nicolas Perrin, Olivier Sigaud. Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards. Artificial Neural Networks and Machine Learning – ICANN 2020, Sep 2020, Bratislava, Slovakia. pp.308-320, ⟨10.1007/978-3-030-61616-8_25⟩. ⟨hal-03080925⟩
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Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Julie Beaulieu, et al.. The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artificial Life, 2020, 26 (2), pp.274-306. ⟨10.1162/artl_a_00319⟩. ⟨hal-01735473⟩
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C. Turck, K.-E. Harabi, T. Hirtzlin, E. Vianello, R. Laurent, et al.. Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors. 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Apr 2023, Antwerp, Belgium. pp.1-2, ⟨10.23919/DATE56975.2023.10137312⟩. ⟨hal-04270563⟩
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George Velentzas, Costas S Tzafestas, Mehdi Khamassi. Memory Development with Heteroskedastic Bayesian Last Layer Probabilistic Deep Neural Networks. Workshop on World Models and Predictive Coding in Cognitive Robotics at 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Oct 2023, Detroit (Michigan), United States. ⟨hal-04249890⟩