Berkley_AI_Course

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最近下载：2025-01-03
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文档列表

Lecture 3 CS188 Step-by-Step Examples- A Star Search.mp4 133.9 MB
Lecture 8 Segment 4 Solving MDPs.mp4 98.5 MB
Lecture 11 Segment 3 Approximate Q-Learning.mp4 87.0 MB
Lecture 1 Segment 5 A (Short) History of AI.mp4 74.9 MB
Lecture 9 Segment 3 Policy Methods Policy Evaluation.mp4 70.1 MB
Lecture 6 Segment 3 Adversarial Search.mp4 67.8 MB
Lecture 8 Segment 1 Non-Deterministic Search and Markov Decision Process.mp4 67.7 MB
Lecture 10 Segment 4 Model-Free Learning Sample Based - Temporal Difference Learning.mp4 62.5 MB
Lecture 7 Step-by-step Example Alpha-Beta.mp4 59.6 MB
Lecture 11 Segment 2 Exploration vs. Exploitation and Regret.mp4 59.6 MB
Lecture 1 Segment 10 What can AI do Robotics.mp4 57.5 MB
Lecture 7 Segment 8 Human Utilities.mp4 56.5 MB
Lecture 11 Segment 1 Reinforcement Learning Recap.mp4 56.2 MB
Lecture 10 Segment 5 Active Reinforcement Learning - Q-Learning.mp4 53.9 MB
Lecture 10 Segment 1 Reinforcement Learning.mp4 53.6 MB
Lecture 9 Segment 1 MDPs Recap.mp4 53.5 MB
Lecture 6 Segment 5 Evaluation Functions.mp4 52.5 MB
Lecture 7 Segment 2 Expectimax Search.mp4 50.9 MB
Lecture 8 Segment 5 Value Iteration.mp4 50.5 MB
Lecture 3 Segment 10 Creating Admissible Heuristics.mp4 48.3 MB
Lecture 10 Segment 3 Passive Reinforcement Learning.mp4 47.5 MB
Lecture 3 CS188 Step-by-Step Examples- Depth First Tree Search and Breadth First Tree Search.mp4 42.4 MB
Lecture 3 Segment 2 Recap of Search.mp4 42.1 MB
Lecture 9 Segment 5 Double Bandits.mp4 41.9 MB
Lecture 4 Segment 14 Arc Consistency of an Entire CSP.mp4 41.7 MB
Lecture 9 Segment 4 Policy Methods Policy Iteration.mp4 39.7 MB
Lecture 5 A Segment 3 Arc Consistency, Limitations, K-Consistency.mp4 39.7 MB
Lecture 8 Segment 3 Utilities of Sequences.mp4 38.1 MB
Lecture 6 Segment 6 Game Tree Pruning.mp4 37.1 MB
Lecture 2 Segment 2 Agents that Plan vs. Reflex Agents.mp4 35.4 MB
Lecture 9 Segment 2 The Bellman Equations.mp4 34.6 MB
Lecture 2 Segment 3 Search Problems.mp4 32.7 MB
Lecture 10 Segment 2 Model-Based Learning.mp4 32.6 MB
Lecture 7 Segment 6 Utilities.mp4 30.9 MB
Lecture 7 Segment 3 Probabilities.mp4 30.6 MB
Lecture 1 Segment 6 What can AI do.mp4 30.0 MB
Lecture 1 Segment 7 Unintentionally Funny Stories.mp4 28.8 MB
Lecture 1 Segment 9 What can AI do Perception.mp4 28.3 MB
Lecture 1 Segment 8 What can AI do Language.mp4 28.1 MB
Lecture 4 Segment 3 CSP Examples Map Coloring and N-Queens.mp4 27.7 MB
Lecture 5 A Segment 6 Algorithm for Tree-Structured CSPs.mp4 27.6 MB
Lecture 6 Segment 4 Resource Limits.mp4 27.6 MB
Lecture 2 Segment 12 Cost-Sensitive Search Uniform Cost Search.mp4 27.0 MB
Lecture 5 A Segment 2 Refresher CSPs, Backtracking Search, Ordering, Filtering.mp4 26.2 MB
Lecture 8 Segment 2 Example Racing.mp4 25.9 MB
Lecture 7 Segment 5 Other Game Types.mp4 25.7 MB
Lecture 6 Segment 2 Adversarial Games.mp4 24.6 MB
Lecture 3 Segment 4 Greedy Search.mp4 24.4 MB
Lecture 7 Segment 4 Modeling Assumptions.mp4 24.3 MB
Lecture 7 Segment 7 Rationality.mp4 24.1 MB
Lecture 1 Segment 3 What is AI.mp4 23.7 MB
Lecture 2 Segment 4 State Space Graphs and Search Trees.mp4 22.9 MB
Lecture 6 Segment 1 Today and Game Playing State of the Art.mp4 22.9 MB
Lecture 2 Segment 5 Tree Search.mp4 22.8 MB
Lecture 4 Segment 11 Filtering Forward Checking.mp4 22.2 MB
Lecture 5 A Segment 10 Iterative Algorithms Min-Conflicts.mp4 22.0 MB
Lecture 3 Segment 6 Admissible Heuristics and A Optimality.mp4 20.7 MB
Lecture 5 A Segment 4 Problem Stucture.mp4 20.3 MB
Lecture 4 Segment 8 Solving CSPs with Standard Search.mp4 20.2 MB
Lecture 4 Segment 9 Backtracking Search.mp4 20.0 MB
Lecture 5 B Segment 3 Simulated Annealing.mp4 19.6 MB
Lecture 3 Segment 3 Informed Search and Search Heuristics.mp4 19.6 MB
Lecture 3 Segment 12 Graph Search.mp4 18.9 MB
Lecture 3 Segment 5 A Tree Search Algorithm.mp4 18.8 MB
Lecture 11 Segment 4 Policy Search.mp4 17.9 MB
Lecture 5 A Segment 9 Tree Decomposition.mp4 17.6 MB
Lecture 4 Segment 13 Consistency of a Single Arc.mp4 17.4 MB
Lecture 5 A Segment 7 Claims about Algorithm for Tree-Structured CSPs.mp4 17.2 MB
Lecture 1 Segment 4 What about the brain.mp4 16.8 MB
Lecture 4 Segment 5 CSP Examples Cryptarithmetic, Sudoku and Waltz.mp4 16.5 MB
Lecture 1 Segment 15 Pacman as an Agent.mp4 16.0 MB
Lecture 1 Segment 12 Game Playing.mp4 15.6 MB
Lecture 1 Segment 2 Sci-Fi AI.mp4 15.4 MB
Lecture 5 A Segment 8 Improving Stucture Cutset Conditioning.mp4 15.2 MB
Lecture 3 Segment 7 A Tree Search Proof.mp4 13.9 MB
Lecture 3 Segment 14 A Consistency.mp4 13.8 MB
Lecture 5 B Segment 4 Genetic Algorithms.mp4 13.7 MB
Lecture 3 Segment 9 A Applications and Demos.mp4 13.3 MB
Lecture 4 Segment 16 Demo of Forward Checking and Arc Consistency.mp4 13.0 MB
Lecture 4 Segment 2 CSPs Definition.mp4 13.0 MB
Lecture 2 Segment 6 Depth First Tree Search.mp4 12.8 MB
Lecture 5 B Segment 2 Hill Climbing.mp4 12.6 MB
Lecture 0 Welcome to CS188x!.mp4 12.0 MB
Lecture 4 Segment 1 Today, and What is Search For.mp4 12.0 MB
Lecture 5 A Segment 11 Performance of Min-Conflicts.mp4 11.7 MB
Lecture 3 Segment 13 Optimality of A .mp4 11.6 MB
Lecture 4 Segment 6 Varieties of CSPs and Constraints.mp4 10.9 MB
Lecture 4 Segment 17 Variable Ordering Minimum Remaining Values.mp4 10.9 MB
Lecture 7 Quiz Informed Probabilities Answer.mp4 10.6 MB
Lecture 2 Segment 13 Search and Models.mp4 10.5 MB
Lecture 1 Segment 13 What can AI do Decision Making.mp4 10.5 MB
Lecture 4 Segment 4 Constraint Graphs.mp4 10.0 MB
Lecture 2 Segment 8 Depth First Search Properties.mp4 10.0 MB
Lecture 1 Segment 14 Designing Rational Agent.mp4 10.0 MB
Lecture 3 Segment 11 Semi-Lattice of Heuristics.mp4 9.6 MB
Lecture 4 Segment 19 Demo.mp4 9.4 MB
Lecture 4 Segment 15 Limitations of Arc Consistency.mp4 9.4 MB
Lecture 2 Segment 10 Breadth First Tree Search Properties.mp4 9.4 MB
Lecture 4 Segment 18 Value Ordering Least Constraining Value.mp4 8.9 MB
Lecture 7 Segment 1 Today Search in the Presence of Uncertainty.mp4 8.0 MB
Lecture 2 Segment 7 Search Algorithm Properties.mp4 7.2 MB
Lecture 1 Segment 11 What can AI do Logic.mp4 7.2 MB
Lecture 5 B Segment 1 Local Search.mp4 7.0 MB
Lecture 2 Segment 1 Today.mp4 6.4 MB
Lecture 5 A Segment 5 Tree-Structured CSPs.mp4 6.2 MB
Lecture 3 Segment 8 Properties of A .mp4 6.0 MB
Lecture 1 Segment 16 Course Topics.mp4 5.9 MB
Lecture 3 Segment 1 Overview of Today.mp4 5.7 MB
Lecture 3 Segment 15 Optimality Summary.mp4 5.3 MB
Lecture 2 Quiz 2 Safe Passage Answer.mp4 5.1 MB
Lecture 4 Segment 12 Filtering Constraint Propogation.mp4 5.1 MB
Lecture 4 Segment 7 Real-World CSPs.mp4 5.1 MB
Lecture 2 Segment 9 Breadth First Tree Search.mp4 4.5 MB
Lecture 5 A Segment 12 Summary of CSPs.mp4 4.3 MB
Lecture 2 Quiz 2 Safe Passage.mp4 4.0 MB
Lecture 4 Segment 10 Improving Backtracking Overview.mp4 3.8 MB
Lecture 2 Segment 11 Iterative Deepening (2).mp4 3.7 MB
Lecture 2 Segment 11 Iterative Deepening.mp4 3.7 MB
Lecture 2 Quiz 9 Search Demo Part 1.mp4 3.5 MB
Lecture 1 Segment 1 Outline of Lecture 1.mp4 3.1 MB
Lecture 11 Segment 5 Conclusion.mp4 3.1 MB
Lecture 2 Quiz 3 State Space Graphs and Search Trees Answer.mp4 3.0 MB
Lecture 5 A Segment 1 Today.mp4 2.5 MB
Lecture 2 Quiz 8 Relative Advantages of Breadth-First and Depth-First Answer.mp4 2.1 MB
Lecture 7 Quiz Informed Probabilities Question.mp4 1.9 MB
Lecture 3 Quiz 7 Search Algorithms Part 7.mp4 1.7 MB
Lecture 3 Segment 16 A Summary.mp4 1.7 MB
Lecture 2 Quiz 11 Maze Search Demos Part 1.mp4 1.6 MB
Lecture 2 Quiz 9 Search Demo Part 4.mp4 1.6 MB
Lecture 2 Quiz 11 Maze Search Demos Part 2.mp4 1.5 MB
Lecture 2 Quiz 9 Search Demo Part 2.mp4 1.4 MB
Lecture 3 Quiz 7 Search Algorithms Part 10.mp4 1.2 MB
Lecture 2 Quiz 11 Maze Search Demos Part 4.mp4 1.2 MB
Lecture 6 Segment 7 Next Time!.mp4 954.2 kB
Lecture 2 Quiz 8 Relative Advantages of Breadth-First and Depth-First.mp4 777.7 kB
Lecture 2 Quiz 3 State Space Graphs and Search Trees.mp4 769.4 kB
Lecture 3 Quiz 7 Search Algorithms Part 6.mp4 669.7 kB
Lecture 2 Quiz 11 Maze Search Demos Part 5.mp4 643.6 kB
Lecture 2 Quiz 9 Search Demo Part 3.mp4 610.9 kB
Lecture 3 Quiz 7 Search Algorithms Part 8.mp4 578.5 kB
Lecture 8 Segment 6 Next Time Policy-Based Methods.mp4 544.8 kB
Lecture 2 Quiz 11 Maze Search Demos Part 3.mp4 436.4 kB
Lecture 3 Quiz 7 Search Algorithms Part 5.mp4 408.9 kB
Lecture 9 Segment 6 Next Time Reinforcement Learning.mp4 394.6 kB
Lecture 7 Segment 9 Next Time MDPs!.mp4 338.4 kB
Lecture 3 Quiz 7 Search Algorithms Part 9.mp4 323.4 kB
Lecture 5 B Segment 6 Next Time.mp4 309.5 kB
Lecture 6 Segment 3 Adversarial Search.srt 36.4 kB
Lecture 11 Segment 3 Approximate Q-Learning.srt 36.0 kB
Lecture 8 Segment 4 Solving MDPs.srt 33.5 kB
Lecture 3 CS188 Step-by-Step Examples- A Star Search.srt 32.4 kB
Lecture 9 Segment 3 Policy Methods Policy Evaluation.srt 30.1 kB
Lecture 10 Segment 4 Model-Free Learning Sample Based - Temporal Difference Learning.srt 27.3 kB
Lecture 8 Segment 1 Non-Deterministic Search and Markov Decision Process.srt 27.2 kB
Lecture 7 Step-by-step Example Alpha-Beta.srt 26.1 kB
Lecture 7 Segment 8 Human Utilities.srt 24.3 kB
Lecture 11 Segment 1 Reinforcement Learning Recap.srt 22.4 kB
Lecture 6 Segment 5 Evaluation Functions.srt 22.3 kB
Lecture 7 Segment 2 Expectimax Search.srt 21.4 kB
Lecture 10 Segment 3 Passive Reinforcement Learning.srt 21.0 kB
Lecture 3 Segment 10 Creating Admissible Heuristics.srt 20.7 kB
Lecture 9 Segment 1 MDPs Recap.srt 20.6 kB
Lecture 11 Segment 2 Exploration vs. Exploitation and Regret.srt 20.6 kB
Lecture 8 Segment 5 Value Iteration.srt 19.7 kB
Lecture 2 Segment 3 Search Problems.srt 19.3 kB
Lecture 9 Segment 5 Double Bandits.srt 18.3 kB
Lecture 3 Segment 2 Recap of Search.srt 17.8 kB
Lecture 6 Segment 6 Game Tree Pruning.srt 16.9 kB
Lecture 8 Segment 3 Utilities of Sequences.srt 16.8 kB
Lecture 10 Segment 1 Reinforcement Learning.srt 16.3 kB
Lecture 10 Segment 2 Model-Based Learning.srt 16.2 kB
Lecture 5 A Segment 3 Arc Consistency, Limitations, K-Consistency.srt 16.0 kB
Lecture 4 Segment 3 CSP Examples Map Coloring and N-Queens.srt 15.6 kB
Lecture 7 Segment 6 Utilities.srt 15.6 kB
Lecture 2 Segment 2 Agents that Plan vs. Reflex Agents.srt 15.5 kB
Lecture 9 Segment 4 Policy Methods Policy Iteration.srt 15.4 kB
Lecture 4 Segment 14 Arc Consistency of an Entire CSP.srt 15.2 kB
Lecture 9 Segment 2 The Bellman Equations.srt 13.8 kB
Lecture 3 CS188 Step-by-Step Examples- Depth First Tree Search and Breadth First Tree Search.srt 13.5 kB
Lecture 2 Segment 12 Cost-Sensitive Search Uniform Cost Search.srt 12.7 kB
Lecture 1 Segment 5 A (Short) History of AI.srt 12.6 kB
Lecture 1 Segment 3 What is AI.srt 12.5 kB
Lecture 3 Segment 4 Greedy Search.srt 11.9 kB
Lecture 3 Segment 5 A Tree Search Algorithm.srt 11.1 kB
Lecture 2 Segment 5 Tree Search.srt 11.1 kB
Lecture 8 Segment 2 Example Racing.srt 10.8 kB
Lecture 6 Segment 4 Resource Limits.srt 10.8 kB
Lecture 5 A Segment 6 Algorithm for Tree-Structured CSPs.srt 10.4 kB
Lecture 5 A Segment 2 Refresher CSPs, Backtracking Search, Ordering, Filtering.srt 10.1 kB
Lecture 3 Segment 3 Informed Search and Search Heuristics.srt 10.1 kB
Lecture 1 Segment 10 What can AI do Robotics.srt 9.9 kB
Lecture 3 Segment 12 Graph Search.srt 9.9 kB
Lecture 2 Segment 4 State Space Graphs and Search Trees.srt 9.8 kB
Lecture 4 Segment 8 Solving CSPs with Standard Search.srt 9.6 kB
Lecture 7 Segment 7 Rationality.srt 9.6 kB
Lecture 3 Segment 6 Admissible Heuristics and A Optimality.srt 9.4 kB
Lecture 7 Segment 5 Other Game Types.srt 8.9 kB
Lecture 7 Segment 3 Probabilities.srt 8.9 kB
Lecture 1 Segment 6 What can AI do.srt 8.9 kB
Lecture 7 Segment 4 Modeling Assumptions.srt 8.8 kB
Lecture 6 Segment 2 Adversarial Games.srt 8.5 kB
Lecture 4 Segment 9 Backtracking Search.srt 8.3 kB
Lecture 5 A Segment 10 Iterative Algorithms Min-Conflicts.srt 8.0 kB
Lecture 4 Segment 11 Filtering Forward Checking.srt 8.0 kB
Lecture 1 Segment 7 Unintentionally Funny Stories.srt 7.9 kB
Lecture 11 Segment 4 Policy Search.srt 7.9 kB
Lecture 5 B Segment 3 Simulated Annealing.srt 7.8 kB
Lecture 1 Segment 8 What can AI do Language.srt 7.6 kB
Lecture 4 Segment 5 CSP Examples Cryptarithmetic, Sudoku and Waltz.srt 7.4 kB
Lecture 6 Segment 1 Today and Game Playing State of the Art.srt 7.3 kB
Lecture 5 A Segment 4 Problem Stucture.srt 7.2 kB
Lecture 4 Segment 13 Consistency of a Single Arc.srt 7.0 kB
Lecture 3 Segment 13 Optimality of A .srt 6.4 kB
Lecture 5 A Segment 9 Tree Decomposition.srt 6.4 kB
Lecture 5 A Segment 7 Claims about Algorithm for Tree-Structured CSPs.srt 6.4 kB
Lecture 5 B Segment 2 Hill Climbing.srt 6.1 kB
Lecture 2 Segment 8 Depth First Search Properties.srt 6.0 kB
Lecture 5 A Segment 8 Improving Stucture Cutset Conditioning.srt 6.0 kB
Lecture 3 Segment 14 A Consistency.srt 5.8 kB
Lecture 2 Segment 6 Depth First Tree Search.srt 5.7 kB
Lecture 5 A Segment 11 Performance of Min-Conflicts.srt 5.4 kB
Lecture 1 Segment 12 Game Playing.srt 5.2 kB
Lecture 1 Segment 9 What can AI do Perception.srt 5.2 kB
Lecture 5 B Segment 4 Genetic Algorithms.srt 5.1 kB
Lecture 1 Segment 4 What about the brain.srt 5.1 kB
Lecture 4 Segment 1 Today, and What is Search For.srt 5.1 kB
Lecture 4 Segment 2 CSPs Definition.srt 5.0 kB
Lecture 3 Segment 7 A Tree Search Proof.srt 5.0 kB
Lecture 2 Segment 10 Breadth First Tree Search Properties.srt 4.7 kB
Lecture 1 Segment 14 Designing Rational Agent.srt 4.6 kB
Lecture 2 Segment 7 Search Algorithm Properties.srt 4.6 kB
Lecture 3 Segment 11 Semi-Lattice of Heuristics.srt 4.4 kB
Lecture 4 Segment 6 Varieties of CSPs and Constraints.srt 4.3 kB
Lecture 4 Segment 15 Limitations of Arc Consistency.srt 4.2 kB
Lecture 3 Segment 9 A Applications and Demos.srt 4.2 kB
Lecture 1 Segment 2 Sci-Fi AI.srt 4.0 kB
Lecture 4 Segment 16 Demo of Forward Checking and Arc Consistency.srt 4.0 kB
Lecture 7 Quiz Informed Probabilities Answer.srt 3.9 kB
Lecture 4 Segment 17 Variable Ordering Minimum Remaining Values.srt 3.9 kB
Lecture 7 Segment 1 Today Search in the Presence of Uncertainty.srt 3.8 kB
Lecture 4 Segment 4 Constraint Graphs.srt 3.6 kB
Lecture 3 Segment 8 Properties of A .srt 3.5 kB
Lecture 1 Segment 15 Pacman as an Agent.srt 3.4 kB
Lecture 5 B Segment 1 Local Search.srt 3.3 kB
Lecture 2 Segment 13 Search and Models.srt 3.2 kB
Lecture 4 Segment 19 Demo.srt 3.1 kB
Lecture 4 Segment 18 Value Ordering Least Constraining Value.srt 3.1 kB
Lecture 1 Segment 13 What can AI do Decision Making.srt 3.1 kB
Lecture 1 Segment 11 What can AI do Logic.srt 2.8 kB
Lecture 2 Segment 9 Breadth First Tree Search.srt 2.8 kB
Lecture 2 Segment 11 Iterative Deepening (2).srt 2.5 kB
Lecture 2 Segment 11 Iterative Deepening.srt 2.5 kB
Lecture 3 Segment 15 Optimality Summary.srt 2.2 kB
Lecture 2 Quiz 3 State Space Graphs and Search Trees Answer.srt 2.2 kB
Lecture 5 A Segment 5 Tree-Structured CSPs.srt 2.1 kB
Lecture 4 Segment 12 Filtering Constraint Propogation.srt 2.1 kB
Lecture 2 Quiz 8 Relative Advantages of Breadth-First and Depth-First Answer.srt 2.1 kB
Lecture 0 Welcome to CS188x!.srt 2.0 kB
Lecture 1 Segment 16 Course Topics.srt 1.9 kB
Lecture 4 Segment 7 Real-World CSPs.srt 1.8 kB
Lecture 5 A Segment 12 Summary of CSPs.srt 1.7 kB
Lecture 2 Segment 1 Today.srt 1.6 kB
Lecture 4 Segment 10 Improving Backtracking Overview.srt 1.6 kB
Lecture 2 Quiz 2 Safe Passage.srt 1.5 kB
Lecture 2 Quiz 2 Safe Passage Answer.srt 1.5 kB
Lecture 3 Segment 1 Overview of Today.srt 1.4 kB
Lecture 2 Quiz 9 Search Demo Part 1.srt 1.2 kB
Lecture 6 Segment 7 Next Time!.srt 1.0 kB
Lecture 7 Quiz Informed Probabilities Question.srt 909 Bytes
Lecture 2 Quiz 9 Search Demo Part 4.srt 763 Bytes
Lecture 3 Segment 16 A Summary.srt 617 Bytes
Lecture 3 Quiz 7 Search Algorithms Part 10.srt 600 Bytes
Lecture 2 Quiz 8 Relative Advantages of Breadth-First and Depth-First.srt 573 Bytes
Lecture 5 A Segment 1 Today.srt 566 Bytes
Lecture 1 Segment 1 Outline of Lecture 1.srt 502 Bytes
Lecture 2 Quiz 9 Search Demo Part 2.srt 489 Bytes
Lecture 2 Quiz 3 State Space Graphs and Search Trees.srt 482 Bytes
Lecture 9 Segment 6 Next Time Reinforcement Learning.srt 419 Bytes
Lecture 8 Segment 6 Next Time Policy-Based Methods.srt 404 Bytes
Lecture 7 Segment 9 Next Time MDPs!.srt 340 Bytes
Lecture 2 Quiz 9 Search Demo Part 3.srt 261 Bytes
Lecture 3 Quiz 7 Search Algorithms Part 8.srt 217 Bytes
Lecture 3 Quiz 7 Search Algorithms Part 9.srt 171 Bytes
Lecture 3 Quiz 7 Search Algorithms Part 6.srt 161 Bytes
Lecture 3 Quiz 7 Search Algorithms Part 7.srt 106 Bytes
Lecture 3 Quiz 7 Search Algorithms Part 5.srt 56 Bytes
Lecture 10 Segment 5 Active Reinforcement Learning - Q-Learning.srt 3 Bytes
Lecture 5 B Segment 6 Next Time.srt 3 Bytes

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