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Latest

• Ingredients for Learning Locomotion Directly on Real Hardware
• Designing and Running Real-World RL Experiments
• Practical Tips for Reliable Reinforcement Learning
• An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks
• Knowledge Guided Reinforcement Learning for Robotics
• DQN Tutorial
• Learning to Exploit Elastic Actuators for Quadruped Locomotion
• Training RL agents directly on real robots
• Tutorial: Tools for Robotic Reinforcement Learning
• The 37 Implementation Details of Proximal Policy Optimization
• Stable-Baselines3: Reliable Reinforcement Learning Implementations
• Smooth Exploration for Robotic Reinforcement Learning
• Learning to Race in Hours with Reinforcement Learning
• Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms
• RL Tips and Tricks / The Challenges of Applying RL to Real Robots
• RL Tutorial on Stable Baselines
• SRL - Stable Baselines Presentation
• Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
• Learning to Drive Smoothly in Minutes
• S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
• PythonRobotics: a Python code collection of robotics algorithms
• Unsupervised learning of state representations for multiple tasks