Jonas Degrave
Universidade Federal do Rio de Janeiro(BR)Google DeepMind (United Kingdom)(GB)Google (United Kingdom)(GB)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robotic Locomotion and Control, Magnetic confinement fusion research, Advanced Control Systems Optimization, Biomimetic flight and propulsion mechanisms
Most-Cited Works
- → Magnetic control of tokamak plasmas through deep reinforcement learning(2022)670 cited
- → Lasagne: First release.(2015)306 cited
- → A Differentiable Physics Engine for Deep Learning in Robotics(2019)166 cited
- → Learning by Playing - Solving Sparse Reward Tasks from Scratch(2018)154 cited
- → Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks(2018)47 cited
- → Relative Entropy Regularized Policy Iteration(2018)45 cited
- → Morphological Properties of Mass–Spring Networks for Optimal Locomotion Learning(2017)44 cited