Coagent Networks: Generalized and Scaled

no code implementations • 16 May 2023 • James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas

However, the coagent framework is not just an alternative to BDL; the two approaches can be blended: BDL can be combined with coagent learning rules to create architectures with the advantages of both approaches.

Reinforcement Learning (RL)

Edge-Compatible Reinforcement Learning for Recommendations

no code implementations • 10 Dec 2021 • James E. Kostas, Philip S. Thomas, Georgios Theocharous

In this work, we build on asynchronous coagent policy gradient algorithms \citep{kostas2020asynchronous} to propose a principled solution to this problem.

Edge-computing Recommendation Systems +2

Asynchronous Coagent Networks

no code implementations • ICML 2020 • James E. Kostas, Chris Nota, Philip S. Thomas

Coagent policy gradient algorithms (CPGAs) are reinforcement learning algorithms for training a class of stochastic neural networks called coagent networks.

Hierarchical Reinforcement Learning reinforcement-learning +1