Intro
Minimalist&DecoupledReinforcement Learning
Usage
pip install minimalist-RL
import gymnasium as gym
import torch.nn as nn
from minimalist_RL.SAC import SAC, ActorCritic
from minimalist_RL.utils import train_RL
env = gym.make("HalfCheetah-v5")
ac_net = ActorCritic(env, sizes=[256, 256], Act=nn.ReLU)
sac = SAC(ac_net)
train_RL(env, ac_net.pi.tanh_act, sac.update)
1 maintainer
Metadata
1 maintainer
Release files for minimalist-RL 0.0.9
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Source distribution (sdist)
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| minimalist_rl-0.0.9.tar.gz | 5.1 kB | Details |
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|---|---|---|---|---|
| minimalist_rl-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.4 kB
Release files / minimalist_rl-0.0.9.tar.gz
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| Size | 5.3 kB |
| Tags | Python 3 |
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