Mon, Aug 24:

• Lecture: Introduction, Search
• [Slides with notes]

Wed, Aug 26:

• Lecture: Uninformed search methods
• [Slides with notes]

Mon, Aug 31:

• Lecture: Search - informed methods
• [Slides with notes]

Wed, Sep 2:

• Lecture: Search, hill climbing
• [Slides with notes]
• Homework 1 out

Mon, Sep 7:

• NO CLASS - Labor day

Wed, Sep 9:

• Lecture: Constraint Satisfaction Problems (CSPs)
• [Slides with notes]

Mon, Sep 14:

• Lecture: Adversarial Search
• [Slides]

Wed, Sep 16:

• Homework 1 is due at the beginning of lecture.

• Lecture: Constraint satisfaction problems (CSPs)
• [Slides]
• Homework 2 out

Mon, Sep 21:

• Lecture: Symbolic reasoning, planning
• [Slides]

Wed, Sep 23:

• Lecture: Probability
• [Sliides]

Mon, Sep 28:

• Lecture: Bayesian Networks
• [Slides]

Wed, Sep 30:

• Lecture: Inference in Bayes nets
• [Slides]
• Homework 2 due
• Homework 3 out

Mon, Oct 5:

• Lecture: More on uncertainty
• [Slides]

Wed, Oct 7:

• Lecture: Robot motion planning, probabilistic planning
• [Slides]

Mon, Oct 12:

• Lecture: Midterm review
• [Notes]
• Homework 3 due

Wed, Oct 14:

Midterm Solutions [pdf]

Mon, Oct 19:

• Lecture: Decision trees
• [Slides]
• Homework 4 out

Wed, Oct 21:

• Lecture: Decision Trees, cont.
• [Slides]

Mon, Oct 26:

• Lecture: Neural Networks
• [Slides]

Wed, Oct 28:

• Lecture: Clustering I
• [Slides]
• Homework 4 due

Mon, Nov 2:

• Lecture: Clustering II
• [Slides]

Wed, Nov 4:

• Lecture: Combining Experts
• [Slides]
• Homework 5 out

Mon, Nov 9:

• Lecture: Markov Decision Processes (MDPs)
• Videos from class
• A relevant paper: Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection

Wed, Nov 11:

• Lecture: Markov Decision Processes (MDPs) / Reinforcement Learning
• [Slides]

Mon., Nov 16:

• Lecture: Reinforcement Learning / Robot Learning
• [Slides]
• [MDP example from class]

Wed, Nov 18:

• Lecture: Game Theory I
• [Slides]
• Homework 5 due
• Homework 6 out

Mon, Nov 23:

• Lecture: Game Theory II
• [Slides]

Wed, Nov 25:

• NO CLASS - Thanksgiving

Mon, Nov 30:

• Lecture: Multi-agent, multi-robot systems
• [Reading]