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GitHub / DhruvaBhardwaj404 / Safe-Multi-Agent-Deep-Policy-Gradient-Optimization-Algorithm

This repository contains the code for a new Safe Multi-Agent Reinforcement Learning (MARL) algorithm. It integrates deep policy gradients with a Lagrangian multiplier framework to enable autonomous agents to learn cooperative strategies while rigorously adhering to safety constraints and maximizing rewards.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DhruvaBhardwaj404%2FSafe-Multi-Agent-Deep-Policy-Gradient-Optimization-Algorithm
PURL: pkg:github/DhruvaBhardwaj404/Safe-Multi-Agent-Deep-Policy-Gradient-Optimization-Algorithm

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Python
Size: 12 MB
Dependencies parsed at: Pending

Created at: 5 months ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 2 months ago

Topics: multi-agent-reinforcement-learning

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