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Brief farewell
CS 440 (Fall 2020) Farewell
From Margaret Fleck
176 plays 0 -
Stochastic games
CS 440 (Fall 2020) Games 5
From Margaret Fleck
374 plays 0 -
Minimax and alpha-beta pruning: the details
CS 440 (Fall 2020) Games 4
From Margaret Fleck
271 plays 0 -
Alpha-beta pruning: high-level idea
CS 440 (Fall 2020) Games 3
From Margaret Fleck
336 plays 0 -
Minimax search, including evaluating game state
CS 440 (Fall 2020) Games 2
From Margaret Fleck
313 plays 0 -
Overview of AI Game playing problem
CS 440 (Fall 2020) Games 1
From Margaret Fleck
324 plays 0 -
Plan-space (partial order) planning
CS 440 (Fall 2020) Planning 4
From Margaret Fleck
296 plays 0 -
Situation space planning, backward planning, hierarchical planning and the Sussman anomaly
CS 440 (Fall 2020) Planning 3
From Margaret Fleck
312 plays 0 -
History, applications, limitations of the representation
CS 440 (Fall 2020) Planning 2
From Margaret Fleck
368 plays 0 -
Introduction to classical planning
CS 440 (Fall 2020) Planning 1
From Margaret Fleck
392 plays 0 -
Q learning: TD and SARSA
CS 440 (Fall 2020) Reinforcement Learning 6
From Margaret Fleck
338 plays 0 -
Constraint propagation
CS 440 (Fall 2020) Constraint Satisfaction 3
From Margaret Fleck
367 plays 0 -
Hill climbing, backtracking search, forward checking
CS 440 (Fall 2020) Constraint Satisfaction 2
From Margaret Fleck
312 plays 0 -
Overview of constraint satisfaction problems
CS 440 (Fall 2020) Constraint Satisfaction 1
From Margaret Fleck
329 plays 0 -
Q learning (the equations)
CS 440 (Fall 2020) Reinforcement Learning 5
From Margaret Fleck
390 plays 0 -
Reinforcement Learning (overview of how the agent learns)
CS 440 (Fall 2020) Reinforcement Learning 4
From Margaret Fleck
375 plays 0 -
Policy iteration
CS 440 (Fall 2020) Reinforcement Learning 3
From Margaret Fleck
386 plays 0 -
Value iteration
CS 440 (Fall 2020) Reinforcement Learning 2
From Margaret Fleck
403 plays 0 -
Introduction to Reinforcement Learning and Markov Decision Processes
CS 440 (Fall 2020) Reinforcement Learning 1
From Margaret Fleck
480 plays 0 -
word2vec (tuning details)
CS 440 (Fall 2020) Vector Semantics 5
From Margaret Fleck
308 plays 1 -
word2vec (basic algorithm)
CS 440 (Fall 2020) Vector Semantics 4
From Margaret Fleck
349 plays 0 -
PMI and TF-IDF
CS 440 (Fall 2020) Vector Semantics 3
From Margaret Fleck
343 plays 0 -
Word embeddings (high-level idea)
CS 440 (Fall 2020) Vector Semantics 2
From Margaret Fleck
348 plays 0 -
Different ways to model word meaning
CS 440 (Fall 2020) Vector Semantics 1
From Margaret Fleck
384 plays 0 -
Adversarial examples, GAN networks
CS 440 (Fall 2020) Neural Nets 5
From Margaret Fleck
422 plays 0 -
Recurrent Neural Nets
CS 440 (Fall 2020) Neural Nets 4
From Margaret Fleck
368 plays 0 -
Convolutional neural nets
CS 440 (Fall 2020) Neural Nets 3
From Margaret Fleck
420 plays 0 -
Training a neural network
CS 440 (Fall 2020) Neural Nets 2
From Margaret Fleck
463 plays 0 -
Overview of neural nets
CS 440 (Fall 2020) Neural Nets 1
From Margaret Fleck
487 plays 0 -
One-hot, Softmax, Regularization
CS 440 (Fall 2020) Linear Classifiers 4
From Margaret Fleck
352 plays 0
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