P1 Introduction -- CS287-FA19 Advanced Robotics at UC Berkeley
P2 Markov Decision Processes -- CS287-FA19 Advanced Robotics at UC Berkeley
P3 Solving Continuous MDPs with Discretization -- CS287-FA19 Advanced Robotics a
P4 MDPs and Function Approximation -- CS287-FA19 Advanced Robotics at UC Berkele
P5 LQR -- CS287-FA19 Advanced Robotics at UC Berkeley
P6 Unconstrained (Convex) Optimization -- CS287-FA19 Advanced Robotics at UC Ber
P7 Constrained Optimization -- CS287-FA19 Advanced Robotics at UC Berkeley
P8 Optimization-based Control: Collocation, Shooting, MPC -- CS287-FA19 Advanced
P9 Collocation, Shooting, MPC, Contact-Invariant Optimization -- CS287-FA19 Adva
P10 Motion Planning: PRM, RRT, Trajopt -- CS287-FA19 Advanced Robotics at UC Ber
P11 Probability Review, Bayes Filters, Gaussians -- CS287-FA19 Advanced Robotics
P12 Kalman Filters -- CS287-FA19 Advanced Robotics at UC Berkeley
P13 Kalman Smoother, MAP, ML, EM -- CS287-FA19 Advanced Robotics at UC Berkeley
P14 Particle Filters -- CS287-FA19 Advanced Robotics at UC Berkeley
P15 Partially Observable MDPs (POMDPs) -- CS287-FA19 Advanced Robotics at UC Ber
P16 Imitation Learning -- CS287-FA19 Advanced Robotics at UC Berkeley
P17 Reinforcement Learning I: Policy Gradients -- CS287-FA19 Advanced Robotics a
P18 Off-Policy, Model-Free RL: DQN, SoftQ, DDPG, SAC -- CS287-FA19 Advanced Robo
P19 Model-Based Reinforcement Learning -- CS287-FA19 Advanced Robotics at UC Ber
P20 Physics Simulation -- CS287-FA19 Advanced Robotics at UC Berkeley
P21 Sim2Real and Domain Randomization -- CS287-FA19 Advanced Robotics at UC Berk
P22 Guest Lecture: Drones -- CS287-FA19 Advanced Robotics at UC Berkeley
P23 Backstories behind how various papers came about
P24 Autonomous Helicopters (aka my thesis story :) -- CS287-FA19 Advanced Robot