Matthieu Geist
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Adversarial Robustness in Machine Learning, Adaptive Dynamic Programming Control, Evolutionary Algorithms and Applications
Most-Cited Works
- → Human Activity Recognition Using Recurrent Neural Networks(2017)180 cited
- → What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study(2020)104 cited
- → Sample-efficient batch reinforcement learning for dialogue management optimization(2011)85 cited
- → A Theory of Regularized Markov Decision Processes(2019)85 cited
- → Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment(2017)81 cited
- → Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning(2016)79 cited
- → Boosted Bellman Residual Minimization Handling Expert Demonstrations(2014)69 cited
- Approximate modified policy iteration and its application to the game of Tetris(2015)
- Inverse Reinforcement Learning through Structured Classification(2012)
- → A Comprehensive Reinforcement Learning Framework for Dialogue Management Optimization(2012)52 cited