Autonomous reinforcement learning with experience replay.
By Pawel Wawrzynski, Ajay Kumar Tanwani. 2013
58 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Computational Theory and Mathematics, Reinforcement Learning
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sergey Levine
- Pieter Abbeel
- Nicolas Manfred Otto Heess
- Timothy P. Lillicrap
- Chelsea Finn
- Yoshua Bengio
- Ruslan Salakhutdinov
- Shixiang Shane Gu
In Cognitive Neuroscience
- Timothy P. Lillicrap
- Nicolas Manfred Otto Heess
- Alexander Pritzel
- Daan Wierstra
- David Silver
- Tom Erez
- Yuval Tassa
- Jonathan J. Hunt
In Computational Theory and Mathematics
- Sergey Levine
- Pieter Abbeel
- Nicolas Manfred Otto Heess
- Timothy P. Lillicrap
- Shixiang Shane Gu
- David Silver
- Chelsea Finn
- Shimon Whiteson
In Reinforcement Learning
- Sergey Levine
- Pieter Abbeel
- Nicolas Manfred Otto Heess
- Timothy P. Lillicrap
- Shixiang Shane Gu
- Shimon Whiteson
- Ofir Nachum
- Chelsea Finn
Citations in the corpus
- Continuous control with deep reinforcement learning (2015, methodology): “The Ornstein-Uhlenbeck process models the velocity of a Brownian particle with friction, which results in temporally correlated values centered around 0.”