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cs287-advanced-robotics's Introduction

Optimal Control, Reinforcement Learning & Robotics Projects in CS 287: Advanced Robotics (fall 2019)

This repository contains past projects I've completed in CS 287, which I took in Berkeley EECS department under Prof. Pieter Abbeel, in fall 2019. (https://people.eecs.berkeley.edu/~pabbeel/cs287-fa19/)

Followings are those projects and related materials covered/implemented in each project.

  • Project 1

    • Value Iteration
    • Dicretization-based Optimal Control
    • Function Approximation Optimal Control
  • Project 2

    • LQR, iLQR
    • DDP
    • Feedback Linearization
  • Project 3

    • Convex Optimiazation
    • Sequential Convex Programming
    • Motion Planning and Control (w/ convex opt.)
  • Project 4

    • Multivariate Gaussians
    • Kalman Filtering
    • EM & MLE
    • Particle Filtering
    • Belief Space Planning
  • Project 5

    • Policy Gradient
      • Trust Region Policy Optimization (TRPO)
      • Proximal Policy Optimization (PPO)
    • Deep Q-Learning
      • DQN
      • Double DQN
      • Dueling DQN

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