Search Results for author: Matthew Morris

Found 2 papers, 1 papers with code

Universally Expressive Communication in Multi-Agent Reinforcement Learning

no code implementations14 Jun 2022 Matthew Morris, Thomas D. Barrett, Arnu Pretorius

Allowing agents to share information through communication is crucial for solving complex tasks in multi-agent reinforcement learning.

Multi-agent Reinforcement Learning reinforcement-learning

Beta-VAE Reproducibility: Challenges and Extensions

1 code implementation28 Dec 2021 Miroslav Fil, Munib Mesinovic, Matthew Morris, Jonas Wildberger

$\beta$-VAE is a follow-up technique to variational autoencoders that proposes special weighting of the KL divergence term in the VAE loss to obtain disentangled representations.

Disentanglement

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