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Varuna Jayasiri
2021-08-08 08:32:39 +05:30
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docs/rl/ppo/experiment.html
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<h1>PPO Experiment with Atari Breakout</h1>
<p>This experiment trains Proximal Policy Optimization (PPO) agent Atari Breakout game on OpenAI Gym.
It runs the <a href="../game.html">game environments on multiple processes</a> to sample efficiently.</p>
<p><a href="https://colab.research.google.com/github/lab-ml/nn/blob/master/labml_nn/rl/ppo/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/rl/ppo/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<a href="https://app.labml.ai/run/6eff28a0910e11eb9b008db315936e2f"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a></p>
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docs/rl/ppo/index.html
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@ -80,7 +80,7 @@ It does so by clipping gradient flow if the updated policy
is not close to the policy used to sample the data.</p>
<p>You can find an experiment that uses it <a href="experiment.html">here</a>.
The experiment uses <a href="gae.html">Generalized Advantage Estimation</a>.</p>
<p><a href="https://colab.research.google.com/github/lab-ml/nn/blob/master/labml_nn/rl/ppo/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/rl/ppo/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<a href="https://app.labml.ai/run/6eff28a0910e11eb9b008db315936e2f"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a></p>
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docs/rl/ppo/readme.html
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@ -80,7 +80,7 @@ It does so by clipping gradient flow if the updated policy
is not close to the policy used to sample the data.</p>
<p>You can find an experiment that uses it <a href="https://nn.labml.ai/rl/ppo/experiment.html">here</a>.
The experiment uses <a href="https://nn.labml.ai/rl/ppo/gae.html">Generalized Advantage Estimation</a>.</p>
<p><a href="https://colab.research.google.com/github/lab-ml/nn/blob/master/labml_nn/rl/ppo/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/rl/ppo/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<a href="https://app.labml.ai/run/6eff28a0910e11eb9b008db315936e2f"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a></p>
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