Reinforcement Learning in Situated Agents: Theoretical and Practical Solutions

By Mark D. Pendrith. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sergey Levine
2. Jens Kober
3. Jan Peters
4. Pieter Abbeel
5. J. Bagnell
6. Chelsea Finn
7. Yoshua Bengio
8. Gerhard Neumann

Citations in the corpus

• Reinforcement learning in robotics: A survey (2013, background): “Using “corrected truncated returns” and taking into account the estimator variance, a six-legged robot employed with stepping reflexes can learn to walk (Pendrith, 1999).”