Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.06468 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908308479148032 |
|---|---|
| author | Kadi, Halid Abdulrahim Terzić, Kasim |
| author_facet | Kadi, Halid Abdulrahim Terzić, Kasim |
| contents | Robotic research is inherently challenging, requiring expertise in diverse environments and control algorithms. Adapting algorithms to new environments often poses significant difficulties, compounded by the need for extensive hyper-parameter tuning in data-driven methods. To address these challenges, we present Agent-Arena, a Python framework designed to streamline the integration, replication, development, and testing of decision-making policies across a wide range of benchmark environments. Unlike existing frameworks, Agent-Arena is uniquely generalised to support all types of control algorithms and is adaptable to both simulation and real-robot scenarios. Please see our GitHub repository https://github.com/halid1020/agent-arena-v0. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_06468 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Agent-Arena: A General Framework for Evaluating Control Algorithms Kadi, Halid Abdulrahim Terzić, Kasim Robotics Artificial Intelligence Software Engineering Robotic research is inherently challenging, requiring expertise in diverse environments and control algorithms. Adapting algorithms to new environments often poses significant difficulties, compounded by the need for extensive hyper-parameter tuning in data-driven methods. To address these challenges, we present Agent-Arena, a Python framework designed to streamline the integration, replication, development, and testing of decision-making policies across a wide range of benchmark environments. Unlike existing frameworks, Agent-Arena is uniquely generalised to support all types of control algorithms and is adaptable to both simulation and real-robot scenarios. Please see our GitHub repository https://github.com/halid1020/agent-arena-v0. |
| title | Agent-Arena: A General Framework for Evaluating Control Algorithms |
| topic | Robotics Artificial Intelligence Software Engineering |
| url | https://arxiv.org/abs/2504.06468 |