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add pendulum environment example + general updates
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@@ -13,7 +13,7 @@ Learning models can be divided into 2 categories:
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- Polynomial models
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- Deep Neural Networks (DNNs)
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- Gaussian processes (GPs)
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- Trajectory based learning models:
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- Trajectory based learning models
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- Dynamic Movement Primitives (DMPs)
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- Central Pattern Generators (CPGs)
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- Gaussian Mixture Models and Gaussian Mixture Regression (GMMs/GMRs)
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@@ -1,3 +0,0 @@
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Priority Tasks
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==============
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@@ -14,7 +14,7 @@ General idea.
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- lack of benchmarks
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- lack of flexibility and modularity
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- lack of generalization
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- high coupling
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- high coupling between different modules
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For instance:
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