links

docs/index.html

@@ -110,6 +110,11 @@ implementations.</p>
 <li><a href="gan/stylegan/index.html">StyleGAN 2</a></li>
 </ul>
 <h4>✨ <a href="sketch_rnn/index.html">Sketch RNN</a></h4>
+<h4>✨ <a href="cfr/index.html">Counterfactual Regret Minimization (CFR)</a></h4>
+<p>Solving games with incomplete information such as poker with CFR.</p>
+<ul>
+<li><a href="cfr/kuhn/index.html">Kuhn Poker</a></li>
+</ul>
 <h4>✨ <a href="rl/index.html">Reinforcement Learning</a></h4>
 <ul>
 <li><a href="rl/ppo/index.html">Proximal Policy Optimization</a> with

labml_nn/__init__.py

@@ -50,6 +50,12 @@ implementations.
 
 #### ✨ [Sketch RNN](sketch_rnn/index.html)
 
+#### ✨ [Counterfactual Regret Minimization (CFR)](cfr/index.html)
+
+Solving games with incomplete information such as poker with CFR.
+
+* [Kuhn Poker](cfr/kuhn/index.html)
+
 #### ✨ [Reinforcement Learning](rl/index.html)
 * [Proximal Policy Optimization](rl/ppo/index.html) with
  [Generalized Advantage Estimation](rl/ppo/gae.html)

readme.md

@@ -56,6 +56,12 @@ implementations almost weekly.
 
 #### ✨ [Sketch RNN](https://nn.labml.ai/sketch_rnn/index.html)
 
+#### ✨ [Counterfactual Regret Minimization (CFR)](https://nn.labml.ai/cfr/index.html)
+
+Solving games with incomplete information such as poker with CFR.
+
+* [Kuhn Poker](https://nn.labml.ai/cfr/kuhn/index.html)
+
 #### ✨ [Reinforcement Learning](https://nn.labml.ai/rl/index.html)
 * [Proximal Policy Optimization](https://nn.labml.ai/rl/ppo/index.html) with
  [Generalized Advantage Estimation](https://nn.labml.ai/rl/ppo/gae.html)