Update examples/reinforcement_learning/README.md

Co-authored-by: Sayak Paul <[email protected]>

Author: DorsaRoh

examples/reinforcement_learning/README.md

@@ -1,7 +1,7 @@
 
 ## Diffusion-based Policy Learning for RL
 
-`diffusion_policy` implements <a href="https://diffusion-policy.cs.columbia.edu/">Diffusion Policy</a>, a diffusion model that predicts robot action sequences in reinforcement learning tasks.
+`diffusion_policy` implements [Diffusion Policy](https://diffusion-policy.cs.columbia.edu/), a diffusion model that predicts robot action sequences in reinforcement learning tasks.
 
 This example implements a robot control model for pushing a T-shaped block into a target area. The model takes in current state observations as input, and outputs a trajectory of subsequent steps to follow.