Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control von Claessens, Bert J., Vrancx, Peter, Ruelens, Frederik

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Forecasting day-ahead electricity prices in Europe: The importance of considering market integration von Lago, Jesus, De Ridder, Fjo, Vrancx, Peter, De Schutter, Bart

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Direct load control of thermostatically controlled loads based on sparse observations using deep reinforcement learning von Ruelens, Frederik, Claessens, Bert J, Vrancx, Peter, Spiessens, Fred, Deconinck, Geert

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Reports on the 2018 AAAI Spring Symposium Series von Amato, Christopher, Ammar, Haitham Bou, Churchill, Elizabeth, Karpas, Erez, Kido, Takashi, Kuniavsky, Mike, Lawless, W. F., Oliehoek, Frans A., Rossi, Francesca, Russell, Stephen, Srivastava, Siddharth, Takadama, Keiki, Allen, Philip, Venable, K. Brent, Tuyls, Karl, Vrancx, Peter, Zhang, Shiqi

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Multi-objectivization and ensembles of shapings in reinforcement learning von Brys, Tim, Harutyunyan, Anna, Vrancx, Peter, Nowé, Ann, Taylor, Matthew E.

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Quantized Dynamics Models for Hardware-Efficient Control and Planning in Model-Based RL von Satya Murthy, Nitish, Catthoor, Francky, Verhelst, Marian, Vrancx, Peter

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Adaptive and Learning Agents: AAMAS 2011 International Workshop, ALA 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers von Vrancx, Peter, Knudson, Matthew, Grzes, Marek

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Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration von Laubeuf, Nathan, Doevenspeck, Jonas, Papistas, Ioannis A., Caselli, Michele, Cosemans, Stefan, Vrancx, Peter, Bhattacharjee, Debjyoti, Mallik, Arindam, Debacker, Peter, Verkest, Diederik, Catthoor, Francky, Lauwereins, Rudy

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Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration von Laubeuf, Nathan, Doevenspeck, Jonas, Papistas, Ioannis A, Caselli, Michele, Cosemans, Stefan, Vrancx, Peter, Bhattacharjee, Debjyoti, Mallik, Arindam, Debacker, Peter, Verkest, Diederik, Catthoor, Francky, Lauwereins, Rudy

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Preface to the special issue: adaptive learning agents von Vrancx, Peter, Howley, Enda, Knudson, Matt

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Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning von Ruelens, Frederik, Claessens, Bert, Vrancx, Peter, Spiessens, Fred, Deconinck, Geert

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Decentralized Learning in Markov Games von Vrancx, P., Verbeeck, K., Nowe, A.

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Predicting Seat-Off and Detecting Start-of-Assistance Events for Assisting Sit-to-Stand With an Exoskeleton von Tanghe, Kevin, Harutyunyan, Anna, Aertbelien, Erwin, De Groote, Friedl, De Schutter, Joris, Vrancx, Peter, Nowe, Ann

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A reinforcement learning approach to coordinate exploration with limited communication in continuous action games von Rodríguez, Abdel, Vrancx, Peter, Grau, Ricardo, Nowé, Ann

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Analyzing the dynamics of stigmergetic interactions through pheromone games von Vrancx, Peter, Verbeeck, Katja, Nowe, Ann

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Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits von Libin, Pieter, Verstraeten, Timothy, Theys, Kristof, Roijers, Diederik M., Vrancx, Peter, Nowé, Ann

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Reports on the 2018 AAAI Spring Symposium Series von Amato, Christopher, Ammar, Haitham Bou, Churchill, Elizabeth, Karpas, Erez, Kido, Takashi, Kuniavsky, Mike, Lawless, W.F, Oliehoek, Frans A, Rossi, Francesca, Russell, Stephen, Srivastava, Siddharth, Takadama, Keiki, van Allen, Philip, Venable, K. Brent, Tuyls, Karl, Vrancx, Peter, Zhang, Shiqi

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Analyzing the dynamics of stigmergetic interactions through pheromone games: Swarm Intelligence Theory: A Snapshot of the State of the Art von VRANCX, Peter, VERBEECK, Katja, NOWE, Ann

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A Reinforcement Learning Approach for Interdomain Routing with Link Prices von Vrancx, Peter, Gurzi, Pasquale, Rodriguez, Abdel, Steenhaut, Kris, Nowé, Ann

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Efficient evaluation of influenza mitigation strategies using preventive bandits von Libin, Pieter, Verstraeten, Timothy, Theys, Kristof, Roijers, Diederik, Vrancx, Peter, Nowe, Ann

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