The browsergym ecosystem for web agent research
The BrowserGym ecosystem addresses the growing need for efficient evaluation and
benchmarking of web agents, particularly those leveraging automation and Large Language
Models (LLMs) for web interaction tasks. Many existing benchmarks suffer from
fragmentation and inconsistent evaluation methodologies, making it challenging to achieve
reliable comparisons and reproducible results. BrowserGym aims to solve this by providing
a unified, gym-like environment with well-defined observation and action spaces, facilitating …
benchmarking of web agents, particularly those leveraging automation and Large Language
Models (LLMs) for web interaction tasks. Many existing benchmarks suffer from
fragmentation and inconsistent evaluation methodologies, making it challenging to achieve
reliable comparisons and reproducible results. BrowserGym aims to solve this by providing
a unified, gym-like environment with well-defined observation and action spaces, facilitating …
The BrowserGym Ecosystem for Web Agent Research
The BrowserGym ecosystem addresses the growing need for efficient evaluation and
benchmarking of web agents, particularly those leveraging automation and Large Language
Models (LLMs) for web interaction tasks. Many existing benchmarks suffer from
fragmentation and inconsistent evaluation methodologies, making it challenging to achieve
reliable comparisons and reproducible results. BrowserGym aims to solve this by providing
a unified, gym-like environment with well-defined observation and action spaces, facilitating …
benchmarking of web agents, particularly those leveraging automation and Large Language
Models (LLMs) for web interaction tasks. Many existing benchmarks suffer from
fragmentation and inconsistent evaluation methodologies, making it challenging to achieve
reliable comparisons and reproducible results. BrowserGym aims to solve this by providing
a unified, gym-like environment with well-defined observation and action spaces, facilitating …
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