Update README.md

update readme for Alfshop

Author: lxqpku

EPO/Alfshop/README.md

@@ -1,6 +1,6 @@
 # Evaluation on WebShop and ALFWorld
 
-We build our WebShop and ALFWorld implementation on top of [EPO] (https://github.com/Yifan-Song793/ETO/tree/main).
+We build our WebShop and ALFWorld implementation on top of [ETO](https://github.com/Yifan-Song793/ETO/tree/main).
 
 
 ## Structure
@@ -50,4 +50,4 @@ python -m eval_agent.main --thought_agent_config fastchat --thought_model_name <
 1. Implement your task loader in `eval_agent/tasks`. You should implement the `load_tasks` method which returns a task generator.
 2. Implement the corresponding environment in `eval_agent/envs`. The environment should parse the action generated by the LLM agent, execute the action, and return the observation. The tool/API calling should also be implemented in the environment.
 3. Write the instruction prompt and ICL examples in `eval_agent/prompt`. The default setting is 1-shot evaluation.
-4. Write a new task config in `eval_agent/configs/task`. The config defines which task class and environment class to load, and the settings of the environment (e.g., max action steps).
+4. Write a new task config in `eval_agent/configs/task`. The config defines which task class and environment class to load, and the settings of the environment (e.g., max action steps).