CPS 570
Artificial Intelligence
(Emphasizing Planning and Sensing)
Major Topics Covered
Algorithms and representations for artificial intelligence
- NP-Hardness and Satisfiability
- Review of NP-Hardness
- fast Solvers and phase transitions
- approximation
- planning and hierarchical planning
- classical planning
- robot motion planning
- Reasoning under uncertainty
- Probability review
- Bayes nets and Markov random fields
- HMMs and query planing
- Reinforcement learning
- MDPs, POMDPs
- observation planning with POMDPs
- Game Theory and Linear Programming
- Query planning as a game
- Sensings applications
- Stereo vision