Reinforcement Learning
1:10pm–2:25pm
Schermerhorn Hall 614
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Markov Decision Processes (MDP) and Reinforcement Learning (RL) problems. Reinforcement Learning algorithms including Q-learning, policy gradient methods, actor-critic method. Reinforcement learning while doing exploration-exploitation dilemma, multi-armed bandit problem. Monte Carlo Tree Search methods, Distributional, Multi-agent, and Causal Reinforcement Learning
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Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
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- Credits
- 3 credits
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