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Feedback on Practical Reinforcement Learning Course
Throughout the course, please help us by providing feedback. You should be able to update as you go along.
For each session, do you agree with the statement "the session was well-run and interesting"?
Strongly agree
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Disagree
Strongly disagree
D1S1 Introduction to the course
D1S2 Intro to RL
D1S3 OpenAI Gym, Gymnasium
D1S4 Lab: Frozen-Lake play
D2S1 MDPs
D2S2 Dynamic Programming
D2S3 Lab: Solving Frozen-Lake
D2S4 Monte Carlo Methods
D3S1 Lab: Blackjack with MC
D3S2 Function Approximation
D3S3 DQN, SAC, PPO
D3S4 Lab: Breakout
D4S1 Lab: Demo day
D4S2 Demos and wrap up
Strongly agree
Agree
Neither
Disagree
Strongly disagree
D1S1 Introduction to the course
D1S2 Intro to RL
D1S3 OpenAI Gym, Gymnasium
D1S4 Lab: Frozen-Lake play
D2S1 MDPs
D2S2 Dynamic Programming
D2S3 Lab: Solving Frozen-Lake
D2S4 Monte Carlo Methods
D3S1 Lab: Blackjack with MC
D3S2 Function Approximation
D3S3 DQN, SAC, PPO
D3S4 Lab: Breakout
D4S1 Lab: Demo day
D4S2 Demos and wrap up
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My favourite session was:
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D1S1 Introduction to the course
D1S2 Intro to RL
D1S3 OpenAI Gym, Gymnasium
D1S4 Lab: Frozen-Lake play
D2S1 MDPs
D2S2 Dynamic Programming
D2S3 Lab: Solving Frozen-Lake
D2S4 Monte Carlo Methods
D3S1 Lab: Blackjack with MC
D3S2 Function Approximation
D3S3 DQN, SAC, PPO
D3S4 Lab: Breakout
D4S1 Lab: Demo day
D4S2 Demos and wrap up
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