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In MARL, multiple agents operate within the same environment, each trying to maximize its own reward. You’ve got agents (the decision-makers), the environment (where . Evonik Oxeno is significantly expanding its production capacities for the INA-based plasticizers, ELATUR CH DINCH and ELATUR DINCD. These products, introduced in recent years, have both now established themselves as new standard plasticizers with Evonik Oxeno customers.

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The Fair-MARL method addresses fairness in cooperative multi-agent reinforcement learning (MARL), where agents must not only achieve task success but also do so in a manner that . JaxMARL combines ease-of-use with GPU-enabled efficiency, and supports a wide range of commonly used MARL environments as well as popular baseline algorithms. Our aim is for one library that enables thorough evaluation of MARL methods across a wide range of tasks and against relevant baselines.

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JaxMARL combines ease-of-use with GPU-enabled efficiency, and supports a wide range of commonly used MARL environments as well as popular baseline algorithms. Our aim is for . Multi-agent reinforcement learning MARL is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist in a shared environment.