# elsciRL GUI Application Guide <div align="center"> <iframe width="700" height="400" src="https://www.youtube.com/embed/JbPtl7Sk49Y"> </iframe> </div> ## Overview The elsciRL GUI is a web-based application that allows you to run reinforcement learning experiments with various agents and adapters. The interface is organized into five main tabs, each serving a specific purpose in the experiment workflow. ## Step-by-step Guide ### 1. Start with Application Selection - Choose an application that matches your research goals - Review preview images to understand the problem structure - Select appropriate configuration options ### 2. Configure Your Experiment - Import preset configurations when available - Set reasonable training/testing parameters - Select multiple agents for comparison - Configure agent parameters based on problem characteristics ### 3. Provide Clear Instructions - Use the LLM Instruction Planner for validation - Write specific, actionable instructions - Validate agent understanding before training - Iterate on instructions if needed ### 4. Train Your Agent and Track Progress - Watch real-time updates during training - Note any warnings or errors - Allow sufficient time for completion ### 5. Analyze Results Thoroughly - Review all generated figures and metrics - Compare performance across agents - Consider variance in results - Save configurations for reproducibility