Model Training AI Training Limitations of RL Computer-Using Agents Computer-Using Agent Computer Vision Model Deployment Training Techniques Self-Correction Automated Learning Post-training Techniques Pre-trained Models Curiosity-Driven Exploration Human Feedback Decision Making OpenAI Contributions Simulation Techniques Post-Training Strategies Meta-Reinforcement Learning Data Quality Deep Reinforcement Learning Self-Improving Systems Simulation Environments Multi-Objective Optimization Data Integration Critiques Applied Machine Learning Self-Improvement Applications GPT Models Adaptive Systems Game Engines