Josh Merel
Robotics Research (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Human Pose and Action Recognition, Robot Manipulation and Learning, Neural dynamics and brain function, Robotic Locomotion and Control
Most-Cited Works
- → Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data(2016)1,164 cited
- → Emergence of Locomotion Behaviours in Rich Environments(2017)668 cited
- → DeepMind Control Suite(2018)521 cited
- → Hierarchical motor control in mammals and machines(2019)280 cited
- → Graph networks as learnable physics engines for inference and control(2018)280 cited
- → Reinforcement and Imitation Learning for Diverse Visuomotor Skills(2018)215 cited
- → dm_control: Software and tasks for continuous control(2020)174 cited
- → Learning human behaviors from motion capture by adversarial imitation(2017)154 cited
- → Population-Level Representation of a Temporal Sequence Underlying Song Production in the Zebra Finch(2016)131 cited