Learning Behaviors of and Interactions Among Objects Through Spatio–Temporal Reasoning

By M. Ersen, Sanem Sariel. 2015

9 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition

How researchers see this paper

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

In Artificial Intelligence

1. Sergey Levine
2. Chelsea Finn
3. Pieter Abbeel
4. Yoshua Bengio
5. Quoc V. Le
6. Mohit Bansal
7. Ruslan Salakhutdinov
8. George Tucker

In Computer Networks and Communications

1. Roy H. Campbell
2. George Tucker
3. Sergey Levine
4. Chelsea Finn

In Computer Vision and Pattern Recognition

1. Sergey Levine
2. Luc Van Gool
3. Chelsea Finn
4. Dacheng Tao
5. Trevor Darrell
6. Jitendra Malik
7. Bernt Schiele
8. Xiaogang Wang

Citations in the corpus

• Model-Based Reinforcement Learning for Atari (2019, methodology): “Unlike this, there are works in which modeling is more explicit, for example Ersen & Sariel (2014) (Sutton, 1991) to learn a model of the environment and generate experience for policy training in the context of Atari games.”