JaxMARL
E1317490
UNEXPLORED
JaxMARL is an open-source multi-agent reinforcement learning library built on JAX, designed to provide scalable, high-performance environments and tools for MARL research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| JaxMARL canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T18300778 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JaxMARL Context triple: [Farama Foundation, product, JaxMARL]
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A.
MPE (Multi-Agent Particle Environments)
MPE (Multi-Agent Particle Environments) is a classic collection of lightweight 2D multi-agent reinforcement learning benchmark environments featuring simple particle-based agents and tasks like cooperation, competition, and communication.
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B.
Farama Foundation
The Farama Foundation is an organization that develops and maintains open-source reinforcement learning tools and libraries for the research and engineering community.
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C.
TF-Agents
TF-Agents is an open-source library built on TensorFlow that provides modular components and tools for developing, training, and evaluating reinforcement learning algorithms.
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D.
ChainerRL
ChainerRL is a reinforcement learning library built on top of the Chainer deep learning framework, providing tools and algorithms for training and evaluating RL agents.
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E.
RLlib
RLlib is a scalable, open-source reinforcement learning library built on Ray that provides high-level APIs and distributed training support for a wide range of RL algorithms.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JaxMARL Target entity description: JaxMARL is an open-source multi-agent reinforcement learning library built on JAX, designed to provide scalable, high-performance environments and tools for MARL research.
-
A.
MPE (Multi-Agent Particle Environments)
MPE (Multi-Agent Particle Environments) is a classic collection of lightweight 2D multi-agent reinforcement learning benchmark environments featuring simple particle-based agents and tasks like cooperation, competition, and communication.
-
B.
Farama Foundation
The Farama Foundation is an organization that develops and maintains open-source reinforcement learning tools and libraries for the research and engineering community.
-
C.
TF-Agents
TF-Agents is an open-source library built on TensorFlow that provides modular components and tools for developing, training, and evaluating reinforcement learning algorithms.
-
D.
ChainerRL
ChainerRL is a reinforcement learning library built on top of the Chainer deep learning framework, providing tools and algorithms for training and evaluating RL agents.
-
E.
RLlib
RLlib is a scalable, open-source reinforcement learning library built on Ray that provides high-level APIs and distributed training support for a wide range of RL algorithms.
- F. None of above. chosen
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.