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1. IRL-Toolkit IRL-Toolkit Public

   Forked from vvanirudh/IRL-Toolkit

   IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)

   MATLAB

2. Probabilistic-Backpropagation Probabilistic-Backpropagation Public

   Forked from HIPS/Probabilistic-Backpropagation

   Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

   Python

3. Stein-Variational-Gradient-Descent Stein-Variational-Gradient-Descent Public

   Forked from dilinwang820/Stein-Variational-Gradient-Descent

   code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

   Python

4. reward-learning-rl reward-learning-rl Public

   Forked from avisingh599/reward-learning-rl

   [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

   Python

5. dynamicsPID dynamicsPID Public

   Forked from austinnguyen517/dynamicsPID

   Provides use of GP and BO to find optimal PID inputs for robots such as CrazyFlie. Models may be used.

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6. dynamicslearn dynamicslearn Public

   Forked from natolambert/dynamicslearn

   Working directory for dynamics learning for experimental robots.

   Python