Get started
Start with Mathematical Foundations
Vectors & Geometry
Back to modulesModule 16 · 0/26
Module 16
Robotics / Control
0/260215
Submodule 01Planning, Dynamics & Decision Systems0/26
- 1Implementing a Kinematic Vehicle Model for Autonomous DrivingconceptMed.
- 2Cart-Pole Balancing with Linear Policy SimulationconceptMed.
- 3Acrobot Swing-Up ProblemconceptHard
- 4Job-Shop Scheduling with TD LearningconceptHard
- 5Dynamic Channel Allocation with AfterstatesconceptHard
- 6Feature Engineering for Channel AllocationconceptMed.
- 7Access-Control Queuing with R-LearningconceptMed.
- 8Monte Carlo Tree SearchconceptHard
- 9Alpha-Beta Pruning ImplementationconceptMed.
- 10Minimax with Learned Value FunctionconceptMed.
- 11Acrobot Swing-Up with Sarsa(λ)conceptMed.
- 12Afterstate Value FunctionsconceptMed.
- 13Intra-Option Q-Learning for Temporal AbstractionconceptMed.
- 14Temporal Abstraction with OptionsconceptMed.
- 15Value Functions for OptionsconceptMed.
- 16Semi-Markov Decision Process SimulationconceptMed.
- 17Semi-Markov Q-LearningconceptMed.
- 18PettingZoo to Gym Environment AdapterconceptMed.
- 19Gym/Gymnasium API Migration LayerconceptMed.
- 20Auto-Sized MLP from Gym SpacesconceptMed.
- 21Flatten and Unflatten Hierarchical Gym SpacesconceptMed.
- 22Hierarchical Action Space FlatteningconceptMed.
- 23Handling Variable Environment Reset TimesconceptMed.
- 24EnvPool-style Asynchronous Environment PoolingconceptMed.
- 25Episodic Info Dictionary AggregationconceptMed.
- 26Multi-Environment Worker Process ManagementHard