Include AgileRL tutorials in tutorials list in README.md (Farama-Foundation#1137)

Co-authored-by: Elliot Tower <[email protected]>

Author: nicku-a

Diff for: README.md

@@ -32,8 +32,9 @@ We support Python 3.8, 3.9, 3.10 and 3.11 on Linux and macOS. We will accept PRs
 
 For an introduction to PettingZoo, see [Basic Usage](https://pettingzoo.farama.org/content/basic_usage/). To create a new environment, see our [Environment Creation Tutorial](https://pettingzoo.farama.org/tutorials/custom_environment/1-project-structure/) and [Custom Environment Examples](https://pettingzoo.farama.org/content/environment_creation/).
 For examples of training RL models using PettingZoo see our tutorials:
-* [CleanRL: Implementing PPO](https://pettingzoo.farama.org/tutorials/cleanrl/implementing_PPO/):train multiple PPO agents in the [Pistonball](https://pettingzoo.farama.org/environments/butterfly/pistonball/) environment.
+* [CleanRL: Implementing PPO](https://pettingzoo.farama.org/tutorials/cleanrl/implementing_PPO/): train multiple PPO agents in the [Pistonball](https://pettingzoo.farama.org/environments/butterfly/pistonball/) environment.
 * [Tianshou: Training Agents](https://pettingzoo.farama.org/tutorials/tianshou/intermediate/): train DQN agents in the [Tic-Tac-Toe](https://pettingzoo.farama.org/environments/classic/tictactoe/) environment.
+* [AgileRL: Training, Curriculums and Self-play](https://pettingzoo.farama.org/main/tutorials/agilerl/DQN/): train agents with curriculum learning and self-play in the [Connect Four](https://pettingzoo.farama.org/environments/classic/connect_four/) environment.
 
 ## API