CPSC6420_Artificial_Intelligence_Fall21

The repo contains the projects for CPSC6420 Artificial Intelligence during the Fall semester 2021, Clemson University - International Center for Automotive Research.

Course Modules

• Search
  • Uniformed search (depth-first search, breadth-first search, uniform cost search)
  • Informed search (greedy search, A*, heuristics)
• Markov Decision Processes
  • Value iteration
  • Policy evaluation
  • Policy iteration
• Reinforcement Learning
  • Q-learning
  • Function approximation
• Probabilistic Reasoning
  • Probabilities
  • Bayes rule
  • Bayesian networks & inference
  • Hidden Markov Models
  • Particle filtering
• Supervised learning
  • Gradient descent
  • Linear regression
  • Logistic regression
  • Softmax regression
• Neural networks
  • Activation functions
  • Backpropagation
  • Multi-layer feed-forward neural networks

Projects

1- Search Algorithms(Uniformed): Solving 8 Puzzle using BFS, DFS, and UCS

2- Markov decision process: Finding the optimal path for a robot