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Distributional reinforcement learning with unconstrained monotonic neural networks., , , , and . Neurocomputing, (2023)Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms., , , and . CoRR, (2024)Policy Gradient Algorithms Implicitly Optimize by Continuation., , and . CoRR, (2023)Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks., , , , and . CoRR, (2021)A deep reinforcement learning framework for continuous intraday market bidding., , , , , , , and . Mach. Learn., 110 (9): 2335-2387 (2021)Recurrent networks, hidden states and beliefs in partially observable environments., , and . CoRR, (2022)Behind the Myth of Exploration in Policy Gradients., , and . CoRR, (2024)Learning optimal environments using projected stochastic gradient ascent., , , , and . CoRR, (2020)Informed POMDP: Leveraging Additional Information in Model-Based RL., , and . CoRR, (2023)Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent., , , and . J. Artif. Intell. Res., (2022)