diff --git a/README.md b/README.md
index 1b56f89..a33a6e6 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,16 @@
 
 Bayesian Network Classifiers using libtorch from scratch
 
-## Installation
+## Dependencies
+
+The only external dependency is [libtorch](https://pytorch.org/cppdocs/installing.html) which can be installed with the following commands:
+
+```bash
+wget https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip
+unzip libtorch-shared-with-deps-latest.zips
+```
+
+## Setup
 
 ### Release
 
diff --git a/docs/BoostAODE.md b/docs/BoostAODE.md
index 0e4b8bc..f121c28 100644
--- a/docs/BoostAODE.md
+++ b/docs/BoostAODE.md
@@ -64,4 +64,4 @@ The algorithm performs the following steps:
 
    - Number of models > ***maxModels*** if ***repeatSparent*** is set.
 
-### [Proposal for *predict_single = false*](./BoostAODE_train_predict.pdf)
+### [Algorithm](./algorithm.md)