You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/features.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -18,7 +18,7 @@ All models (first‑principles and data‑driven) are also exposed as symbolic m
18
18
The repository includes reference controller implementations and integration points for common research workflows:
19
19
20
20
- Geometric controllers (Mellinger style) for standard tracking.
21
-
- Interfaces for MPC / MPCC workflows (note: MPC example controllers and advanced control code are available in the repo for our [drone racing course](https://github.com/utiasDSL/lsy_drone_racing/tree/main/lsy_drone_racing/control)).
21
+
- Interfaces for MPC / MPCC workflows (note: MPC example controllers and advanced control code are available in the repo for our [drone racing course](https://github.com/learnsyslab/lsy_drone_racing/tree/main/lsy_drone_racing/control)).
22
22
- Reinforcement learning: we provide environments suitable for training and deploying RL agents and include example setups for PPO and SHAC agents.
0 commit comments