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Lecture 7: Exploring Key RL Algorithms: TD(lambda), Eligibility Traces & More
UofT RL Course - Lecture 1: RL as a Learning Problem
UofT RL Course - Lecture 34: Why Deep RL
UofT RL Course - Lecture 5: Environment as State-Dependent System
UofT RL Course - Lecture 9: Optimal Policy and an Overview on RL Approaches
UofT RL Course - Lecture 45: Policy Net and Its Learning Objective
Lecture 11: Eligibility Traces
UofT RL Course - Lecture 38: Back to Tabular RL
Foundation of Q-learning | Temporal Difference Learning explained!
TD(lambda) Method in Reinforcement Learning
Lecture 26 | Programming Abstractions (Stanford)
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Last Updated: August 15, 2026
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