dvalenciar/ReinforceUI-Studio
ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and DeepMind Control Suite. Algorithms included: CTD4, DDPG, DQN, PPO, SAC, TD3, TQC
This application simplifies the process of training and monitoring Reinforcement Learning (RL) agents. You input an RL environment (like those from MuJoCo or OpenAI Gymnasium) and select from various algorithms, then it outputs trained models, performance metrics, and comparison plots. This tool is ideal for machine learning researchers and practitioners who want to experiment with different RL algorithms and track their performance without deep coding.
No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning researcher or practitioner working with Reinforcement Learning and want an intuitive visual interface to configure, train, and monitor your agents across various environments and algorithms.
Not ideal if you need to develop custom RL algorithms from scratch or require extremely fine-grained, code-level control over every aspect of your training pipeline.
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76
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Language
Python
License
MIT
Category
Last pushed
Jul 11, 2025
Commits (30d)
0
Dependencies
15
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