CPS 271: Spring 1998

Numeric Artificial Intelligence

Preliminary Schedule:
Date Topic Reading [Focus]
Fri Jan 16 Introduction & Administrivia (01) -
Mon Jan 19 Agents (02) Ch. 1, Ch. 2 [2.3, 2.4]
Wed Jan 21 Searching for Planning (03) Ch. 3 [3.3]
Fri Jan 23 Search Methods (04) Ch. 3 [3.5]
Mon Jan 26 Informed Search (05) Ch. 4 [4.1, 4.2, 4.4]
Wed Jan 28 Informed Search, continued -
Fri Jan 30 Propositional Logic - GSAT (06) Ch. 6 [6.2, prob. 6.15], handout
Mon Feb 2 Situation Calculus (07) Ch. 7 [7.4, 7.5, 7.6, 7.9]
Wed Feb 4 STRIPS Planning Representation (08) Ch. 11 [11.2, 11.4, 11.8]
Fri Feb 6 Partial Order Planning (09) Ch. 11 [11.5, 11.6]
Mon Feb 9 Alternate Approaches to Planning (10) handout: GraphPlan, PlanSAT
Wed Feb 11 Conditional Planning and Nondeterminism (11) Ch. 13 [13.1, 13.2]
Fri Feb 13 Partially Observable Domains I (12) optional handout
Mon Feb 16 Review/Slack Day -
Wed Feb 18 Exam 1: Deterministic Domains
Fri Feb 20 Project Discussion -
Mon Feb 23 Probability (13) Ch. 14 [14.1]
Wed Feb 25 Belief Nets (14) Ch. 15 [15.1, 15.2]
Fri Feb 27 Inference in Belief Nets (15) Ch. 15 [15.3]
Mon Mar 2 Grab bag -
Wed Mar 4 Vision (16) Ch. 24 [24.3, 24.4, 24.6]
Fri Mar 6 Speech (17) Ch. 24 [24.7]
Mon Mar 9 HMM Algorithms (18) -
Wed Mar 11 Sequential Decision Problems (19) Ch. 17 [17.1]
Fri Mar 13 Algorithms for Sequential Decision Problems (20) Ch. 17 [17.2,17.3]
Mon Mar 16 Spring Break
Wed Mar 18
Fri Mar 20
Mon Mar 23 Supervised learning (Guest) Ch. 19 [19.3]
Wed Mar 25 Supervised learning (Guest) Ch. 19 [19.4]
Fri Mar 27 Learning in Belief Nets (23) Ch. 19 [19.6]
Mon Mar 30 Reinforcement Learning (24) Ch. 20 [20.2]
Wed Apr 1 Reinforcement Learning for Control (25) Ch. 20 [20.5, 20.6]
Fri Apr 3 Value Function Approximation Ch. 20 [20.7], handout
Mon Apr 6 Natural Language Applications (Guest) Ch. 23 [23.1]
Wed Apr 8 Probabilistic Planning Ch. 20 [20.8], handouts: POP
Fri Apr 10 Holiday -
Mon Apr 13 Robot Architectures (Guest) Ch. 25 [25.4]
Wed Apr 15 Navigation and Path Planning (28) Ch. 25 [25.6]
Fri Apr 17 Partially Observable MDPs handout
Mon Apr 20 Review -
Wed Apr 22 Exam 2: Stochastic Domains
Fri Apr 24 Extracting Information from Text (Guest) -
Mon Apr 27 Bayes Nets and RL (Guest) handouts: taxonomy, engrng
Wed Apr 29 Wrap Up -
May ? Final Projects

Michael Littman
Last modified: Fri Jan 16 09:34:16 EST 1998