papers
Publications (12)
cs.LG2018
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
Jonathan Uesato, Ananya Kumar, Csaba Szepesvari +7
cs.LG2019
Continuous control with deep reinforcement learning
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel +5
stat.ML2017
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni +3
cond-mat.other2005
Social Anti-Percolation and Negative Word of Mouth
Tom Erez, Sarit Moldovan, Sorin Solomon
cs.RO2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang, Josh Merel +8
cond-mat.stat-mech2005
Statistical Economics on Multi-Variable Layered Networks
Tom Erez, Martin Hohnisch, Sorin Solomon
cs.LG2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
Ivaylo Popov, Nicolas Heess, Timothy Lillicrap +7
cs.AI2012
A Scalable Method for Solving High-Dimensional Continuous POMDPs Using Local Approximation
Tom Erez, William D. Smart
cs.AI2018
Learning Awareness Models
Brandon Amos, Laurent Dinh, Serkan Cabi +7
cs.LG2015
Learning Continuous Control Policies by Stochastic Value Gradients
Nicolas Heess, Greg Wayne, David Silver +3
cs.AI2017
Emergence of Locomotion Behaviours in Rich Environments
Nicolas Heess, Dhruva TB, Srinivasan Sriram +9
cs.AI2018
DeepMind Control Suite
Yuval Tassa, Yotam Doron, Alistair Muldal +9