A deep reinforcement learning framework for continuous intraday market bidding von Boukas, Ioannis, Ernst, Damien, Théate, Thibaut, Bolland, Adrien, Huynen, Alexandre, Buchwald, Martin, Wynants, Christelle, Cornélusse, Bertrand

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Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent von Bolland, Adrien, Boukas, Ioannis, Berger, Mathias, Ernst, Damien

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Distributional reinforcement learning with unconstrained monotonic neural networks von Théate, Thibaut, Wehenkel, Antoine, Bolland, Adrien, Louppe, Gilles, Ernst, Damien

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Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures von Bolland, Adrien, Lambrechts, Gaspard, Ernst, Damien

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Behind the Myth of Exploration in Policy Gradients von Bolland, Adrien, Lambrechts, Gaspard, Ernst, Damien

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Informed POMDP: Leveraging Additional Information in Model-Based RL von Lambrechts, Gaspard, Bolland, Adrien, Ernst, Damien

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Policy Gradient Algorithms Implicitly Optimize by Continuation von Bolland, Adrien, Louppe, Gilles, Ernst, Damien

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Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference von Pirlet, Matthias, Bolland, Adrien, Louppe, Gilles, Ernst, Damien

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Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems von Cauz, Marine, Bolland, Adrien, Wyrsch, Nicolas, Ballif, Christophe

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Recurrent networks, hidden states and beliefs in partially observable environments von Lambrechts, Gaspard, Bolland, Adrien, Ernst, Damien

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Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms von Aittahar, Samy, Bolland, Adrien, Derval, Guillaume, Ernst, Damien

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Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks von Théate, Thibaut, Wehenkel, Antoine, Bolland, Adrien, Louppe, Gilles, Ernst, Damien

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Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures von Bolland, Adrien, Lambrechts, Gaspard, Ernst, Damien

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Informed POMDP: Leveraging Additional Information in Model-Based RL von Lambrechts, Gaspard, Bolland, Adrien, Ernst, Damien

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Reinforcement Learning for Joint Design and Control of Battery-PV Systems von Cauz, Marine, Bolland, Adrien, Miftari, Bardhyl, Perret, Lionel, Ballif, Christophe, Wyrsch, Nicolas

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Behind the Myth of Exploration in Policy Gradients von Bolland, Adrien, Lambrechts, Gaspard, Ernst, Damien

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Policy Gradient Algorithms Implicitly Optimize by Continuation von Bolland, Adrien, Louppe, Gilles, Ernst, Damien

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Costs Estimation in Unit Commitment Problems using Simulation-Based Inference von Pirlet, Matthias, Bolland, Adrien, Louppe, Gilles, Ernst, Damien

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Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems von Cauz, Marine, Bolland, Adrien, Wyrsch, Nicolas, Ballif, Christophe

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Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent von Bolland, Adrien, Boukas, Ioannis, Berger, Mathias, Ernst, Damien

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