papers
Publications (12)
cs.LG2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
Ivaylo Popov, Nicolas Heess, Timothy Lillicrap +7
cs.AI2018
Learning Awareness Models
Brandon Amos, Laurent Dinh, Serkan Cabi +7
cs.AI2018
Safe Exploration in Continuous Action Spaces
Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerik +3
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.RO2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
Sandy H. Huang, Martina Zambelli, Jackie Kay +4
cs.AI2018
DeepMind Control Suite
Yuval Tassa, Yotam Doron, Alistair Muldal +9
cs.LG2018
Relative Entropy Regularized Policy Iteration
Abbas Abdolmaleki, Jost Tobias Springenberg, Jonas Degrave +5
cs.CV2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami, Nicolas Heess, Theophane Weber +4
cs.RO2016
Learning and Transfer of Modulated Locomotor Controllers
Nicolas Heess, Greg Wayne, Yuval Tassa +3
cs.LG2019
Continuous control with deep reinforcement learning
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel +5
cs.LG2018
Maximum a Posteriori Policy Optimisation
Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa +3