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Varuna Jayasiri
2020-10-25 09:49:23 +05:30
parent 20c2aa3174
commit 5ab7f32015
3 changed files with 3 additions and 3 deletions
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labml_nn/__init__.py
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#### ✨ [Reinforcement Learning](http://lab-ml.com/labml_nn/rl/) #### ✨ [Reinforcement Learning](http://lab-ml.com/labml_nn/rl/)
* [Proximal Policy Optimization](http://lab-ml.com/labml_nn/rl/ppo/) with * [Proximal Policy Optimization](http://lab-ml.com/labml_nn/rl/ppo/) with
[Generalized Advantage Estimation](http://lab-ml.com/labml_nn/rl/ppo/gae.html) [Generalized Advantage Estimation](http://lab-ml.com/labml_nn/rl/ppo/gae.html)
* [Deep Q Netowrks](http://lab-ml.com/labml_nn/rl/dqn/) with * [Deep Q Networks](http://lab-ml.com/labml_nn/rl/dqn/) with
with [Dueling Network](http://lab-ml.com/labml_nn/rl/dqn/model.html), with [Dueling Network](http://lab-ml.com/labml_nn/rl/dqn/model.html),
[Prioritized Replay](http://lab-ml.com/labml_nn/rl/dqn/replay_buffer.html) [Prioritized Replay](http://lab-ml.com/labml_nn/rl/dqn/replay_buffer.html)
and Double Q Network. and Double Q Network.

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labml_nn/rl/dqn/model.py
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""" """
# Neural Network Model for Deep Q Network (DQN) # Deep Q Network (DQN) Model
""" """
import torch import torch

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readme.md
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#### ✨ [Reinforcement Learning](http://lab-ml.com/labml_nn/rl/) #### ✨ [Reinforcement Learning](http://lab-ml.com/labml_nn/rl/)
* [Proximal Policy Optimization](http://lab-ml.com/labml_nn/rl/ppo/) with * [Proximal Policy Optimization](http://lab-ml.com/labml_nn/rl/ppo/) with
[Generalized Advantage Estimation](http://lab-ml.com/labml_nn/rl/ppo/gae.html) [Generalized Advantage Estimation](http://lab-ml.com/labml_nn/rl/ppo/gae.html)
* [Deep Q Netowrks](http://lab-ml.com/labml_nn/rl/dqn/) with * [Deep Q Networks](http://lab-ml.com/labml_nn/rl/dqn/) with
with [Dueling Network](http://lab-ml.com/labml_nn/rl/dqn/model.html), with [Dueling Network](http://lab-ml.com/labml_nn/rl/dqn/model.html),
[Prioritized Replay](http://lab-ml.com/labml_nn/rl/dqn/replay_buffer.html) [Prioritized Replay](http://lab-ml.com/labml_nn/rl/dqn/replay_buffer.html)
and Double Q Network. and Double Q Network.