📕 subnode [[@KGBicheno/trajectory]]
in 📚 node [[trajectory]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Trajectory.md by @KGBicheno
trajectory
Go back to the [[AI Glossary]]
#rl
In reinforcement learning, a sequence of tuples that represent a sequence of state transitions of the agent, where each tuple corresponds to the state, action, reward, and next state for a given state transition.
📖 stoas
- public document at doc.anagora.org/trajectory
- video call at meet.jit.si/trajectory