This folder contains evaluation for MiniWoB++ benchmark, powered by BrowserGym for easy evaluation of how well an agent capable of browsing can perform on synthetic web browsing tasks.

Setup Environment and LLM Configuration

Please follow instruction here to setup your local development environment and LLM.

Test if your environment works

Access with browser the above MiniWoB URLs and see if they load correctly.

Run Evaluation

./evaluation/miniwob/scripts/run_infer.sh llm.claude-35-sonnet-eval

Results will be in evaluation/evaluation_outputs/outputs/miniwob/

To calculate the average reward, run:

poetry run python evaluation/miniwob/get_success_rate.py evaluation/evaluation_outputs/outputs/miniwob/SOME_AGENT/EXP_NAME/output.jsonl

Submit your evaluation results

You can start your own fork of our huggingface evaluation outputs and submit a PR of your evaluation results following the guide here.

BrowsingAgent V1.0 result

Tested on BrowsingAgent V1.0

MiniWoB++, 125 tasks (3 runs due to random init task), max step 10

GPT4o: 0.384, 0.416, 0.424, avg: 0.408
GPT3.5: 0.288, 0.256, 0.272, avg: 0.272