Online Model Learning Algorithms for Actor-Critic Control

By Ivo Grondman. 2015

20 citations recorded by the source corpus.

Subfields: 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 Reinforcement Learning

1. Sergey Levine
2. Pieter Abbeel
3. Nicolas Manfred Otto Heess
4. Timothy P. Lillicrap
5. Shixiang Shane Gu
6. Shimon Whiteson
7. Ofir Nachum
8. David Silver

Citations in the corpus

• Learning Continuous Control Policies by Stochastic Value Gradients (2015, background): “If a differentiable environment model is available, one can link together the policy, model, and reward function to compute an analytic policy gradient by backpropagation of reward along a trajectory [18, 11, 6, 9].”