Audrūnas Gruslys
- Mastering the game of Stratego with model-free multiagent reinforcement learning
2022/06/30 by Julien Pérolat, Julien Perolat, Bart de Vylder +38 · 6 voices · 27 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Artificial Intelligence in Games #Advanced Bandit Algorithms Research
- Deep Q-learning from Demonstrations
2017/04/12 by Todd Hester, Hester, Todd, Matej Vecerík +27 · 2 voices · 45 citations
Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Software Engineering Research #Sports Analytics and Performance #cs.AI #cs.LG
- A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
2017/11/02 by Marc Lanctot, Vinícius Zambaldi, Vinicius Zambaldi +16 · 1 voice · 34 citations
Computer Science · #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #cs.AI #cs.GT #cs.LG #cs.MA
- Memory-Efficient Backpropagation Through Time
2016/06/10 by Audrūnas Gruslys, Rémi Munos, Gruslys, Audrūnas +8 · 1 voice · 12 citations
Computer Science · #Advanced Neural Network Applications #Machine Learning and Algorithms #Neural Networks and Applications #cs.LG #cs.NE
- Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
2018/01/24 by Joel Z. Leibo, Cyprien de Masson d’Autume, Leibo, Joel Z. +27 · 3 voices · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · Psychology · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Mental Health Research Topics #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #cs.AI #cs.NE #q-bio.NC