Git Repo

Our main goal for this project is to attempt to replace traditional path planning techniques or joystick operations with an optimal control policy that is learnt via Reinforcement Learning

To Do:

• Arm: Test arm’s IK with closed loop feedback
• Robo-gym:Test RL Algorithm with real hardware
• Pose Estimation: Experiments with fixed keyboard position …
• Robohub (Brendan DeHart): Can always use the Gen3 arm for testing

Resources

• AlphaGo Documentary: for motivation .. 
• Sutton & Barto GOAT Textbook: from the GOAT University of Alberta (uni for my undergrad )
• CS285: Berkeley’s Deep Reinforcement Learning: really good online course for RL
• OpenAI Gym Tutorial: this is how we got started with our OpenAI gym
• Stable -Baselines3: we use standard RL algorithms from this repo
• Robo-Gym: framework for training in Gazebo + ROS
• CS231n: Stanford’s Convolutional Neural Networks for Visual Recognition: really good online course for learning about NNs or CNNs