AI Index[]
Probability Index[]
Machine Learning Index[]
Additional Research[]
Midterm 1 Concepts[]
Search[]
- A Star Search
- Breadth First Search
- Depth First Search
- Graph Search
- Greedy Search
- Heuristic
- Informed Search
- Iterative Deepening
- Search Problem
- Tree Search
- Uniform Cost Search
Constraint Satisfaction Problems[]
- Arc Consistency
- Backtracking Search
- Constraint Graph
- Constraint Satisfaction Problem
- Constraint Satisfaction Search Formulation
- Cutset Conditioning
- Forward Checking
- Genetic Algorithm
- Independent Subproblem
- Iterative Improvement
- K Consistency
- Least Constrained Value
- Local Search
- Minimum Remaining Values
- Naive Search
- Simulated Annealing
- Tree Structure CSPs
Game Trees[]
- Alpha Beta Pruning
- Depth Limited Search
- Deterministic Game
- Evaluation Function
- Expectimax Search
- Lottery
- Minimax Pruning
- Minimax Search
- Minimax Value
- Prize
- Rationality
Markov Decision Processes[]
- Markov Decision Process
- Markov Decision Process Search
- Non Deterministic Search
- Policy
- Policy Evaluation
- Policy Extraction
- Policy Iteration
- Time Limited Values
- Value Iteration
Reinforcement Learning[]
- Active Reinforcement Learning
- Approximate Q Learning
- Direct Evaluation
- Epsilon Greedy Exploration
- Exploration Function
- Model Based Learning
- Model Free Learning
- Passive Reinforcement Learning
- Q Learning
- Q Value Iteration
- Regret
- Sample Based Policy Evaluation
- Temporal Difference Learning