Spatio-Temporal Abstractions in Reinforcement Learning Through Neural Encoding

By Nir Baram, Tom Zahavy, Shie Mannor. 2016

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. Sergey Levine
2. Pieter Abbeel
3. Aviv Tamar
4. Chelsea Finn
5. Yoshua Bengio
6. Tom Zahavy
7. Shie Mannor
8. Ruslan Salakhutdinov

Citations in the corpus

• Graying the black box: Understanding DQNs (2016, background): “Its promise was demonstrated in the Arcade Learning Environment (ALE) (Bellemare et al., 2012), a challenging framework composed of dozens of Atari games used to evaluate general competency in AI.”
• Learning Plannable Representations with Causal InfoGAN (2018, methodology): “Methods for general state aggregation have also been proposed, based on spectral clustering [31, 46, 30, 29], and variants of K-means [4].”