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Multiagent Safe Transformer for RL by shawonsharma is a document available to read on EtoBox.

What is Multiagent Safe Transformer for RL about?

The document presents MAST, a multiagent safe reinforcement learning algorithm that enhances safety in multiagent systems by transforming constrained optimization problems into unconstrained ones using the Lagrangian method. It introduces a Transformer-based framework that allows for parallel action generation during training and autoregressive action production during inference, significantly improving performance and safety metrics compared to existing algorithms. Empirical results demonstrate MAST

Author

shawonsharma

Language

EN