Jaxagents
Jaxagents is a Python implementation of Reinforcement Learning agents built upon JAX.
Content
So far, the project includes the following agents for Reinforcement Learning:
- Q-learning:
- Deep Q Networks (DQN)
- Double Deep Q Networks (DDQN)
- Categorical Deep Q Networks (often known as C51)
- Quantile Regression Deep Q Networks (QRDQN)
- Policy gradient:
- REINFORCE
- PPO with clipping and GAE
So far, the project includes the following agents for Multi-Agent Reinforcement Learning:
- Policy gradient:
- IPPO
Background
Research and development in Reinforcement Learning can be computationally cumbersome. Utilizing JAX's high computational performance, Jaxagents provides a framework for applying and developing Reinforcement Learning agents that offers benefits in:
- computational speed
- easy control of random number generation
- hyperparameter optimization (via parallelized calculations)
1 maintainer
Metadata
1 maintainer
Release files for jaxagents 0.2.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| jaxagents-0.2.5.tar.gz | 52.5 kB | Without provenance | Details for jaxagents-0.2.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| jaxagents-0.2.5-py3-none-any.whl | Python 3 | none | any | Details for jaxagents-0.2.5-py3-none-any.whl |
Total release size: 115.1 kB
Release files / jaxagents-0.2.5.tar.gz
| Download URL | jaxagents-0.2.5.tar.gz |
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| Size | 52.5 kB |
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Release files / jaxagents-0.2.5-py3-none-any.whl
| Download URL | jaxagents-0.2.5-py3-none-any.whl |
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| Size | 62.5 kB |
| Tags | Python 3 |
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Security for jaxagents 0.2.5
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