A Framework for Reinforcement Learning on Real Robots

By William D. Smart, Leslie Pack Kaelbling. 1998

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, methodology): “Using local models for valuefunction approximation has allowed learning a navigation task with obstacle avoidance (Smart and Kaelbling, 1998), a pole swing-up task (Schaal, 1996), and an air hockey task (Bentivegna, 2004).”