The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots

By Todd Hester, Peter Stone. 2013

6 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Automotive Engineering, 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

1. Sergey Levine
2. Pieter Abbeel
3. Chelsea Finn
4. Yan Duan
5. Xi Chen
6. Abhishek Gupta
7. Yoshua Bengio
8. Shixiang Shane Gu

In Automotive Engineering

1. Pieter Abbeel
2. Sergey Levine

In Computational Theory and Mathematics

1. Pieter Abbeel
2. John Schulman
3. Yan Duan
4. Rein Houthooft
5. Xi Chen
6. Sergey Levine
7. Nicolas Manfred Otto Heess
8. Chelsea Finn

In Reinforcement Learning

1. Sergey Levine
2. Pieter Abbeel
3. Chelsea Finn
4. Yan Duan
5. Xi Chen
6. Abhishek Gupta
7. John Schulman
8. Shixiang Shane Gu

Citations in the corpus

• Benchmarking Deep Reinforcement Learning for Continuous Control (2016, background): “Since we penalize for excessive controls as well as falling over, during the initial stage of learning, when the robot is not yet able to move forward for a sufficient distance without falling, apparent local optima exist including staying at the origin or diving forward slowly.”