A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.
Abstract: This paper introduces a novel adaptive path tracking controller that integrates the Proximal Policy Optimization (PPO) algorithm with a Proportional-Integral-Derivative (PID) control ...
Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 ...
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Abstract: Interest in applying Reinforcement Learning (RL) to Autonomous Vehicles (AVs) is experiencing a rapid and substantial expansion. Proximal Policy Optimization (PPO), a well-known RL algorithm ...
Motivated by "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" by Jiang et. al. 2017 [1]. In this project: Implement three state-of-art continous deep ...
airfoil-rl-optimizer/ │ ├── 📊 app.py # Interactive Dash web interface ├── 🚂 train_rl.py # RL training script with CLI args ├── ⚙️ setup.py # Package installation config │ ├── 📁 src/ # Core source ...
How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing agent stack? Microsoft AI team releases Agent Lightning to help ...
Researchers from Japan’s University of Tsukuba have developed a novel imbalance-aware control framework for photovoltaic battery storage systems (PV-BSS) that trade in day-ahead electricity markets ...
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