Peter Vrancx

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Papers (11)

1. Disentangled Skill Embeddings for Reinforcement Learning cs.LG · 2019 · author #4
2. Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks cs.LG · 2018 · author #2
3. Learning High-level Representations from Demonstrations cs.AI · 2018 · author #2
4. Learning with Options that Terminate Off-Policy cs.AI · 2017 · author #2
5. Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets cs.AI · 2017 · author #4
6. Forecasting day-ahead electricity prices in Europe: the importance of considering market integration q-fin.ST · 2017 · author #3
7. Analysing Congestion Problems in Multi-agent Reinforcement Learning cs.MA · 2017 · author #2
8. Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control cs.LG · 2016 · author #2
9. An Empirical Comparison of Neural Architectures for Reinforcement Learning in Partially Observable Environments cs.NE · 2015 · author #2
10. Off-Policy Reward Shaping with Ensembles cs.AI · 2015 · author #3
11. Off-Policy Shaping Ensembles in Reinforcement Learning cs.AI · 2014 · author #3

Mentions

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Frequent Coauthors

• Anna Harutyunyan 4 shared papers
• Ann Nowe 3 shared papers
• Ann Now\'e 2 shared papers
• Denis Steckelmacher 2 shared papers
• Tim Brys 2 shared papers
• Bart De Schutter 1 shared papers
• Bert J. Claessens 1 shared papers
• Diederik M. Roijers 1 shared papers
• Doina Precup 1 shared papers
• Felix Leibfried 1 shared papers
• Fjo De Ridder 1 shared papers
• Frederik Ruelens 1 shared papers
• Garrett Andersen 1 shared papers
• Haitham Bou-Ammar 1 shared papers
• H\'el\`ene Plisnier 1 shared papers
• Janith C. Petangoda 1 shared papers
• Jesus Lago 1 shared papers
• Jordi Grau-Moya 1 shared papers
• Pierre-Luc Bacon 1 shared papers
• Roxana R\u{a}dulescu 1 shared papers