How to build and solve decision making problems using the POMDPs.jl ecosystem of packages
Overview
Syllabus
Decision Making Under Uncertainty using POMDPs.jl
- Introduction to POMDPs.jl
MDP's
- MDPs: Markov Decision Processes
POMDPs
- POMDPs: Partially Observable Markov Decision Processes
State Estimation and Particle Filtering
- State Estimation using Particle Filtering
Approximate Methods
- Approximate Methods
Deep Reinforcement Learning
- Deep Reinforcement Learning
Imitation Learning
- Imitation Learning
Black-Box Validation
- Black-Box Validation
Taught by
Robert Moss
