UNIT 016 h allocated
Decision processes
- States
- actions
- rewards
- transitions
- discounting
← Course catalogue
RL & ROBOTICS / SPECIALIST
RL301Reinforcement learning & sequential decisions
24 h productive allocation9 h 36 m learning + 14 h 24 m training4 units · 1 assessed practical brief
Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.
BEFORE YOU BEGIN
A clear starting point.
Specialist studio; environment and faculty must be confirmed before scheduling
WHAT YOU SHOULD BE ABLE TO DEMONSTRATE
- Explain the assumptions and failure modes in decision processes.
- Complete the practical: train tabular Q-learning in a small deterministic environment and test reward and seed sensitivity.
- Defend the resulting environment contract with reproducible evidence.
THE SUBJECTS / FOUR CONNECTED UNITS
What you will study.
UNIT 026 h allocated
Learning policies
- Value functions
- Bellman relations
- exploration
- tabular Q-learning
UNIT 036 h allocated
Environment design
- Reward specification
- termination
- partial observability
- simulator assumptions
UNIT 046 h allocated
Evaluation
- Multiple seeds
- random-policy baseline
- return variance
- policy failures
THE TRAINING STUDIO
Make the subject
visible in your work.
Train tabular Q-learning in a small deterministic environment and test reward and seed sensitivity.
Evidence to produce
- Environment contract
- learning curves
- baseline comparison
- reward critique
Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.
ASSESS THE REASONING
A question you
should be able to answer.
How can a policy maximise reward while failing the intended objective?
Review dimensions
Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.
External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.