Neurovisual Control in the Quake II Environment

By Matt Parker, Bobby D. Bryant. 2012

14 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

How researchers see this paper

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

In Cognitive Neuroscience

1. David R Ha
2. J. Gustafsson
3. J. Urgen Schmidhuber
4. Faustino J. Gomez
5. Jan Koutník
6. Olof Mogren

Citations in the corpus

• Recurrent World Models Facilitate Policy Evolution (2018, neutral): “Evolution-based algorithms have even been able to solve difficult RL tasks from high dimensional pixel inputs [1, 31, 45, 63].”
• World Models (2018, methodology): “Evolution-based algorithms have even been able to solve difficult RL tasks from high dimensional pixel inputs (Kout-nik et al., 2013; Hausknecht et al., 2013; Parker & Bryant, 2012).”
• Evolving Neuromodulatory Topologies for Plasticity in Video Game Playing (2016, background): “It has been shown that neuroevolution can handle large action and state spaces very well, especially for direct action selection, and it has been used in games like quake II, and even reading entire screen data for atari games to select actions [6], [11], [14], [15].”