Syllabus
The reinforcement learning problem; tabular & approximate solution methods: dynamic programming, Monto-Carlo Methods, temporal difference learning, eligibility traces; planning and learning; dimensions of reinforcement learning.
Text Books
Same as Reference
References
- Sutton R. S. and Barto, A. G., Reinforcement Learning: An Introduction, The MIT Press(2017).
- Tesauro G., Temporal Difference Learning and TD-Gammon, Communications of the Association for Computing Machinery (1995).