Latent forward model for Real-time Strategy game planning with incomplete information

By Yuandong Tian, Qucheng Gong. 2018

4 citations recorded by the source corpus.

How researchers see this paper

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

1. Wenling Shang
2. Douwe van der Wal
3. Herke Van Hoof
4. Sergey Levine
5. Max Welling
6. Yoshua Bengio
7. Pieter Abbeel
8. Ruslan Salakhutdinov

Citations in the corpus

• Learning World Graphs to Accelerate Hierarchical Reinforcement Learning (2019, neutral): “Another direction in this area is to learn a world model [4, 37, 36] that generates latent states [88, 38, 77].”
• Stochastic Activation Actor Critic Methods (2019, background): “in spirit to latent forward modeling [44] where the history predicts and guides the future, but in a more implicit form of prior regularization:”