Neural belief states for partially observed domains

By Pol Moreno, George Papamakarios, B. '. Pires, Lars Buesing, Nicolas Manfred Otto Heess, Theophane Weber. 2018

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. Yoshua Bengio
3. Ruslan Salakhutdinov
4. Pieter Abbeel
5. Trevor Darrell
6. Zhe Gan
7. Abhinav Kumar Gupta
8. Quoc V. Le

Citations in the corpus

• Shaping Belief States with Generative Environment Models for RL (2019, background): “In this paper we refer to belief-states as any vector representation that is sufficient to predict future observations as in [9, 10].”
• Meta reinforcement learning as task inference (2019, background): “Unsupervised learning of the belief state as a means of facilitating learning in POMDPs has been proposed in (Guo et al., 2019; Moreno et al., 2018).”
• Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning (2020, methodology): “Guo et al. (2018); Moreno et al. (2018); Gregor et al. (2019) used an architecture similar to fig.”