Learnt AI concepts by implementing them for pacman. Below is the overview of the concepts
- DFS
- BFS
- UCS
- A* with heuristics for different problems
- Minimax
- Expectimax
- AlphaBeta Pruning
- Evaluation Functions
- MDP
- Value Iteration
- Prioritized Sweeping Value Iteration
- Q-Learning
- Approximate Q-Learning
Project 4 - Bayes Nets & Hidden Markov Models
- Bayes Nets
- Probability Distribution Tables
- Particle Filtering
- Observe Update
- Time Elapse Update
- Image Classification using logisitic regression
- CNN
- RNN