Continuous control with deep reinforcement learning
Abstract: We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain. We present an actor-critic, model-free algorithm based on the determinist...
Publications
Explore 1,746 academic publications
Showing 12 of
1,746 publications
The structure of coping.
Coping refers to behavior that protects peoplefrom being psychologically harmed by problematic social experience, a behavior that importantly mediates the impact that societies ...
Planetary Boundaries: Exploring the Safe Operating Space for Humanity
"Anthropogenic pressures on the Earth System have reached a scale where abrupt global environmental change can no longer be excluded. We propose a new approach to global sustain...
NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
Journal Article NOTES ON CONTINUOUS STOCHASTIC PHENOMENA Get access P. A. P. MORAN P. A. P. MORAN Institute of Statistics, Oxford University Search for other works by this autho...
Power-law distributions in empirical data
Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena. Unfortunately,...
Anarchy, State, and Utopia
Robert Nozicka s Anarchy, State, Utopia is a powerful, philosophical challenge to the most widely held political social positions of our age ---- liberal, socialist conservat...
Teaching For Quality Learning At University
generalize create, solve unseen problems, extrapolate to unknown domains 22831.indb 124 6/15/11 2:11 PM Designing intended learning outcomes 125 • the verb at the appropriate le...
Improving neural networks by preventing co-adaptation of feature detectors
When a large feedforward neural network is trained on a small training set, it typically performs poorly on held-out test data. This "overfitting" is greatly reduced by randomly...
Designing Social Inquiry
While heated arguments between practitioners of qualitative and quantitative research have begun to test the very integrity of the social sciences, Gary King, Robert Keohane, an...
Kernel Methods for Pattern Analysis
Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and lo...