Frans A. Oliehoek

1. Mimicking Evolution with Reinforcement Learning
   2020/03/31 by João P. Abrantes, Abrantes, João P., Arnaldo J. Abrantes +3 · 1 voice · 1 citation
   Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #I.2.0 #Reinforcement Learning in Robotics #cs.AI
2. Scalable Planning and Learning for Multiagent POMDPs: Extended Version
   2014/04/04 by Christopher Amato, Amato, Christopher, Frans A. Oliehoek +1 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
3. Plannable Approximations to MDP Homomorphisms: Equivariance under\n Actions
   2020/02/27 by Elise van der Pol, van der Pol, Elise, Thomas Kipf +5 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
4. Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL
   2023/06/04 by Miguel Suau, Suau, Miguel, Matthijs T. J. Spaan +3 · 3 citations
   Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques
5. GANGs: Generative Adversarial Network Games
   2017/12/02 by Frans A. Oliehoek, Oliehoek, Frans A., Rahul Savani +9 · 2 citations
   Computer Science · Physics and Astronomy · #Reinforcement Learning in Robotics #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis
6. Multi-agent active perception with prediction rewards
   2020/10/22 by Mikko Lauri, Lauri, Mikko, Frans A. Oliehoek +1 · 1 citation
   Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Auction Theory and Applications #Game Theory and Applications