My solution sto the various pacman challenges.
PA 1: Search in Pacman
- Q1: Depth First Search
- Q2: Breadth First Search
- Q3: Uniform Cost Search
- Q4: A* Search
- Q5: Corners Problem: Representation
- Q6: Corners Problem: Heuristic
- Q7: Eating All The Dots: Heuristic
- Q8: Suboptimal Search
PA 2: Multi-Agent Pacman
- Q1: Reflex Agent
- Q2: Minimax
- Q3: Alpha-Beta Pruning
- Q4: Expectimax
- Q5: Evaluation Function
PA 3: Reinforcement Learning
- Q1: Value Iteration
- Q2: Bridge Crossing Analysis
- Q3: Policies
- Q4: Q-Learning
- Q5: Epsilon Greedy
- Q6: Bridge Crossing Revisited
- Q7: Q-Learning and Pacman
- Q8: Approximate Q-Learning
PA 4:
- Q1: Exact Inference: Observation
- Q2: Exact Inference: Time Elapse
- Q3: Exact Inference: Full System
- Q4: Approximate Inference: Observation
- Q5: Approximate Inference: Time Elapse
- Q6: Joint Particle Filter: Observation
- Q7: Joint Particle Filter: Time Elapse