no code implementations • 3 Jun 2023 • Tyler Malloy, Cleotilde Gonzalez
Designing cyber defense systems to account for cognitive biases in human decision making has demonstrated significant success in improving performance against human attackers.
no code implementations • 30 Mar 2023 • Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims
This raises the question of how humans learn to efficiently represent visual information in a manner useful for learning tasks.
no code implementations • 23 Nov 2020 • Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims
This paper introduces an information-theoretic constraint on learned policy complexity in the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) reinforcement learning algorithm.
no code implementations • 9 Oct 2020 • Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
We focus on the model-free reinforcement learning (RL) setting and formalize our approach in terms of an information-theoretic constraint on the complexity of learned policies.