Josh Tobin
OpenAI (United States)(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Graph theory and applications, Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Advanced Numerical Methods in Computational Mathematics
Most-Cited Works
- → Domain randomization for transferring deep neural networks from simulation to the real world(2017)2,659 cited
- → Learning dexterous in-hand manipulation(2019)1,558 cited
- → Hindsight Experience Replay(2017)352 cited
- → Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research(2018)196 cited
- → YASK—Yet Another Stencil Kernel: A Framework for HPC Stencil Code-Generation and Tuning(2016)52 cited
- → How to Make the Perfect Fireworks Display: Two Strategies forHanabi(2015)32 cited
- → Multi-level spatial and temporal tiling for efficient HPC stencil computation on many-core processors with large shared caches(2017)15 cited
- → The Spectral Gap of Graphs Arising From Substring Reversals(2017)13 cited
- → The maximum relaxation time of a random walk(2018)12 cited