#agent oscillation

7 related articles

decisionrl: An Open-Source Reinforceme…

Jul 15, 2026·2 min

decisionrl: An Open-Source Reinforcement Learning Library Built for Operational Decision-Making

decisionrl is an open-source RL library for operational decisions, with built-in environments for inventory, pricing, supply chain, and OR baselines for comparison. Built on PyTorch, MIT licensed.

Jul 12, 2026·7 min

Training Machine Learning Models from Scratch: A Complete Beginner's Guide

A complete walkthrough of training machine learning models from scratch—covering problem definition, data preprocessing, algorithm selection, hyperparameter tuning, and evaluation, with tool recommendations for beginners.

Jul 11, 2026·3 min

Reward Shaping and RL Debugging in Practice: A Systematic Guide from Oscillation to Convergence

Using an FPV drone RL project as a case study, this guide covers reward shaping principles, Bang-Bang control hacking, module isolation, single-variable debugging, and behavior visualization to solve common RL training issues.

Jul 10, 2026·2 min

Behavior Cloning Training Failing? A Systematic Guide to Data Quality and Tuning

Behavior cloning model barely moves after training? This guide systematically covers data alignment, class imbalance, learning rate, and epoch count — with a step-by-step debugging checklist and advanced alternatives like DAgger.

Jul 8, 2026·7 min

HuggingFace Open-Sources ml-intern: An AI Engineer That Reads Papers and Trains Models Autonomously

Hugging Face's open-source ml-intern autonomously reads papers, writes training scripts, and finetunes LLMs, deeply integrating the HF ecosystem and smolagents. Explore its features and impact on ML careers.

Jul 7, 2026·5 min

Anthropic Updates Cybersecurity Safeguards: How AI Safety Governance Balances Security and Usability

Anthropic updates AI cybersecurity safeguards after U.S. government dialogue. New measures slightly raise false positive rates, with flagged requests downgraded to Opus 4.8 responses. Deep analysis of the security-usability balance in AI governance.

Jun 9, 2026·4 min

Feedback Loops in Coding Agents: How Failure Becomes Fuel for Fixes

Deep dive into coding Agent feedback loops: how AI tools turn errors and test failures into correction signals. Covers context management, root cause analysis, death loop avoidance, and more.