corpus.blog
41554 blogs · [ { "id": "01a0872c-f908-736e-88a5-269ee6b5dff9", "title": "Making RL Work Out-of-the-Box (WIP)", "url": "https://araffin.github.io/talk/rlc26-autorl-out-box/", "published_at": "2026-08-15T16:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ee714f7bb", "title": "Direct Policy Search Tutorial - RL Summer School 2026", "url": "https://araffin.github.io/talk/rlss-26-pg/", "published_at": "2026-06-10T14:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ee71a6172", "title": "DQN Tutorial - RL Summer School 2026", "url": "https://araffin.github.io/talk/rlss-26/", "published_at": "2026-06-09T14:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ee7fcee6f", "title": "Exploration in Continuous Control RL", "url": "https://araffin.github.io/talk/icra-explore/", "published_at": "2026-06-05T17:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ee8c51b9d", "title": "Recent Advances in RL for Continuous Control (SOTA) - Early 2026 Update", "url": "https://araffin.github.io/talk/rl-sota-2026-mannheim/", "published_at": "2026-02-06T09:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ee90dec44", "title": "RL103: From Deep Q-Learning (DQN) to Soft Actor-Critic (SAC) and Beyond", "url": "https://araffin.github.io/post/rl103/", "published_at": "2025-12-12T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ee9cbd3a2", "title": "Stable-Baselines3 (SB3) Tutorial: Getting Started With Reinforcement Learning", "url": "https://araffin.github.io/talk/sb3-gym-quickstart/", "published_at": "2025-10-30T14:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269eeaab8f9b", "title": "PhD Defense: Enabling Reinforcement Learning on Real Robots", "url": "https://araffin.github.io/talk/phd-defense-tum/", "published_at": "2025-10-28T09:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269eeb96f399", "title": "Designing (Robot) Software That Is Easy to Use", "url": "https://araffin.github.io/talk/write-easy-use-software/", "published_at": "2025-09-27T08:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269eeba0631a", "title": "RL102: From Tabular Q-Learning to Deep Q-Learning (DQN)", "url": "https://araffin.github.io/post/rl102/", "published_at": "2025-09-16T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269eec1494ad", "title": "Getting SAC to Work on a Massive Parallel Simulator: Tuning for Speed (Part II)", "url": "https://araffin.github.io/post/tune-sac-isaac-sim/", "published_at": "2025-07-01T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269eece58b77", "title": "Recent Advances in RL for Continuous Control", "url": "https://araffin.github.io/talk/recent-advances-rl-cern/", "published_at": "2025-05-21T11:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269eedde6ae7", "title": "Automatic Hyperparameter Tuning - In Practice (Part 2)", "url": "https://araffin.github.io/post/optuna/", "published_at": "2025-04-23T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269eeeda8883", "title": "Getting SAC to Work on a Massive Parallel Simulator: An RL Journey With Off-Policy Algorithms (Part I)", "url": "https://araffin.github.io/post/sac-massive-sim/", "published_at": "2025-02-10T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269eef7164bd", "title": "Enabling Reinforcement Learning on Real Robots", "url": "https://araffin.github.io/talk/phd-defense-inria/", "published_at": "2025-01-31T13:30:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef04280df", "title": "Ingredients for Learning Locomotion Directly on Real Hardware", "url": "https://araffin.github.io/talk/ingredients-learning-loco/", "published_at": "2024-11-22T13:30:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef12afd34", "title": "Designing and Running Real-World RL Experiments", "url": "https://araffin.github.io/talk/design-real-rl-exp/", "published_at": "2024-02-05T08:30:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef161e114", "title": "Practical Tips for Reliable Reinforcement Learning", "url": "https://araffin.github.io/talk/tips-reliable-rl/", "published_at": "2023-12-12T08:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef20353c2", "title": "An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks", "url": "https://araffin.github.io/publication/simple-open-loop/", "published_at": "2023-10-04T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef29b0e0e", "title": "Knowledge Guided Reinforcement Learning for Robotics", "url": "https://araffin.github.io/talk/iri-upc-23/", "published_at": "2023-06-28T10:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef2bfca95", "title": "DQN Tutorial", "url": "https://araffin.github.io/talk/rlss-23/", "published_at": "2023-06-27T14:30:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef38ce382", "title": "Automatic Hyperparameter Tuning - A Visual Guide (Part 1)", "url": "https://araffin.github.io/post/hyperparam-tuning/", "published_at": "2023-05-15T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef3d763c5", "title": "SBX: Stable Baselines Jax", "url": "https://araffin.github.io/project/sbx/", "published_at": "2023-05-11T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef41f3cdf", "title": "Datasaurust", "url": "https://araffin.github.io/project/datasaurust/", "published_at": "2023-03-11T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef43ad6f5", "title": "Learning to Exploit Elastic Actuators for Quadruped Locomotion", "url": "https://araffin.github.io/publication/exploit-bert/", "published_at": "2022-10-04T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef4a3f729", "title": "Training RL agents directly on real robots", "url": "https://araffin.github.io/talk/rl-dresden/", "published_at": "2022-09-15T14:30:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef4fbfd43", "title": "Tutorial: Tools for Robotic Reinforcement Learning", "url": "https://araffin.github.io/talk/tools-icra/", "published_at": "2022-05-23T08:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef539537c", "title": "The 37 Implementation Details of Proximal Policy Optimization", "url": "https://araffin.github.io/publication/ppo-iclr/", "published_at": "2022-04-27T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef5510e56", "title": "Stable-Baselines3: Reliable Reinforcement Learning Implementations", "url": "https://araffin.github.io/publication/sb3/", "published_at": "2021-12-04T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef566c742", "title": "Rliable: Better Evaluation for Reinforcement Learning - A Visual Explanation", "url": "https://araffin.github.io/post/rliable/", "published_at": "2021-10-29T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef5e07f12", "title": "Smooth Exploration for Robotic Reinforcement Learning", "url": "https://araffin.github.io/publication/gsde/", "published_at": "2021-09-14T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef62c17d3", "title": "Learning to Race in Hours with Reinforcement Learning", "url": "https://araffin.github.io/talk/learning-race/", "published_at": "2021-05-29T18:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef71dafd6", "title": "Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanisms", "url": "https://araffin.github.io/publication/fault-tolerant/", "published_at": "2021-05-01T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef7612bbf", "title": "RL Tips and Tricks / The Challenges of Applying RL to Real Robots", "url": "https://araffin.github.io/talk/rlvs/", "published_at": "2021-04-09T09:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef7f7f7c1", "title": "Stable-Baselines3: Reliable Reinforcement Learning Implementations", "url": "https://araffin.github.io/post/sb3/", "published_at": "2021-02-28T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef8c73c9f", "title": "Stable Baselines3", "url": "https://araffin.github.io/project/stable-baselines3/", "published_at": "2020-05-11T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269ef95cee21", "title": "RL Tutorial on Stable Baselines", "url": "https://araffin.github.io/talk/rl-tuto-jnrr19/", "published_at": "2019-10-18T00:09:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269efa5574d4", "title": "SRL - Stable Baselines Presentation", "url": "https://araffin.github.io/talk/sb-ias-19/", "published_at": "2019-08-06T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269efa9aa525", "title": "Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics", "url": "https://araffin.github.io/publication/decoupling/", "published_at": "2019-01-26T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269efb988482", "title": "Learning to Drive Smoothly in Minutes", "url": "https://araffin.github.io/post/learning-to-drive/", "published_at": "2019-01-26T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269efbfac908", "title": "Learning to Drive Smoothly in Minutes", "url": "https://araffin.github.io/project/learning-to-drive/", "published_at": "2019-01-26T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269efcf68cd3", "title": "RL Baselines Zoo", "url": "https://araffin.github.io/project/rl-baselines-zoo/", "published_at": "2018-11-23T00:00:00+00:00" }, { "id": "01a0872c-f908-736e-88a5-269efd0c2a2e", "title": "S-RL Toolbox", "url": "https://araffin.github.io/project/srl-toolbox/", "published_at": "2018-10-10T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013b33f541", "title": "Stable Baselines", "url": "https://araffin.github.io/project/stable-baselines/", "published_at": "2018-09-27T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013beca3c0", "title": "S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning", "url": "https://araffin.github.io/publication/srl-toolbox/", "published_at": "2018-09-01T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013cb93b69", "title": "PythonRobotics: a Python code collection of robotics algorithms", "url": "https://araffin.github.io/publication/python-robotics/", "published_at": "2018-08-31T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013d3c4e42", "title": "Stable Baselines: a Fork of OpenAI Baselines — Reinforcement Learning Made Easy", "url": "https://araffin.github.io/post/stable-baselines/", "published_at": "2018-08-20T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013dcb2aef", "title": "Simple and Robust {Computer — Arduino} Serial Communication", "url": "https://araffin.github.io/post/arduino-serial/", "published_at": "2018-02-10T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013e3bb626", "title": "Autonomous Racing Robot With an Arduino, a Raspberry Pi and a Pi Camera", "url": "https://araffin.github.io/post/racing-robot/", "published_at": "2017-11-10T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013e7adcfa", "title": "Racing Robot", "url": "https://araffin.github.io/project/racing-robot/", "published_at": "2017-10-27T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013ea48556", "title": "Arduino Robust Serial", "url": "https://araffin.github.io/project/arduino-robust-serial/", "published_at": "2017-10-26T00:00:00+00:00" }, { "id": "01a0872c-f909-70fe-862b-63013f7d811a", "title": "Unsupervised learning of state representations for multiple tasks", "url": "https://araffin.github.io/publication/multiple-tasks-srl/", "published_at": "2016-09-01T00:00:00+00:00" } ] posts Claim your blog
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araffin.github.io

2026

Making RL Work Out-of-the-Box (WIP)original ↗
15 Aug 2026
Direct Policy Search Tutorial - RL Summer School 2026original ↗
10 Jun 2026
DQN Tutorial - RL Summer School 2026original ↗
9 Jun 2026
Exploration in Continuous Control RLoriginal ↗
5 Jun 2026
Recent Advances in RL for Continuous Control (SOTA) - Early 2026 Updateoriginal ↗
6 Feb 2026

2025

RL103: From Deep Q-Learning (DQN) to Soft Actor-Critic (SAC) and Beyondoriginal ↗
12 Dec 2025
Stable-Baselines3 (SB3) Tutorial: Getting Started With Reinforcement Learningoriginal ↗
30 Oct 2025
PhD Defense: Enabling Reinforcement Learning on Real Robotsoriginal ↗
28 Oct 2025
Designing (Robot) Software That Is Easy to Useoriginal ↗
27 Sept 2025
RL102: From Tabular Q-Learning to Deep Q-Learning (DQN)original ↗
16 Sept 2025
Getting SAC to Work on a Massive Parallel Simulator: Tuning for Speed (Part II)original ↗
1 Jul 2025
Recent Advances in RL for Continuous Controloriginal ↗
21 May 2025
Automatic Hyperparameter Tuning - In Practice (Part 2)original ↗
23 Apr 2025
Getting SAC to Work on a Massive Parallel Simulator: An RL Journey With Off-Policy Algorithms (Part I)original ↗
10 Feb 2025
Enabling Reinforcement Learning on Real Robotsoriginal ↗
31 Jan 2025

2024

Ingredients for Learning Locomotion Directly on Real Hardwareoriginal ↗
22 Nov 2024
Designing and Running Real-World RL Experimentsoriginal ↗
5 Feb 2024

2023

Practical Tips for Reliable Reinforcement Learningoriginal ↗
12 Dec 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasksoriginal ↗
4 Oct 2023
Knowledge Guided Reinforcement Learning for Roboticsoriginal ↗
28 Jun 2023
DQN Tutorialoriginal ↗
27 Jun 2023
Automatic Hyperparameter Tuning - A Visual Guide (Part 1)original ↗
15 May 2023
SBX: Stable Baselines Jaxoriginal ↗
11 May 2023
Datasaurustoriginal ↗
11 Mar 2023

2022

Learning to Exploit Elastic Actuators for Quadruped Locomotionoriginal ↗
4 Oct 2022
Training RL agents directly on real robotsoriginal ↗
15 Sept 2022
Tutorial: Tools for Robotic Reinforcement Learningoriginal ↗
23 May 2022
The 37 Implementation Details of Proximal Policy Optimizationoriginal ↗
27 Apr 2022

2021

Stable-Baselines3: Reliable Reinforcement Learning Implementationsoriginal ↗
4 Dec 2021
Rliable: Better Evaluation for Reinforcement Learning - A Visual Explanationoriginal ↗
29 Oct 2021
Smooth Exploration for Robotic Reinforcement Learningoriginal ↗
14 Sept 2021
Learning to Race in Hours with Reinforcement Learningoriginal ↗
29 May 2021
Fault-Tolerant Six-DoF Pose Estimation for Tendon-Driven Continuum Mechanismsoriginal ↗
1 May 2021
RL Tips and Tricks / The Challenges of Applying RL to Real Robotsoriginal ↗
9 Apr 2021
Stable-Baselines3: Reliable Reinforcement Learning Implementationsoriginal ↗
28 Feb 2021

2020

Stable Baselines3original ↗
11 May 2020

2019

RL Tutorial on Stable Baselinesoriginal ↗
18 Oct 2019
SRL - Stable Baselines Presentationoriginal ↗
6 Aug 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based roboticsoriginal ↗
26 Jan 2019
Learning to Drive Smoothly in Minutesoriginal ↗
26 Jan 2019
Learning to Drive Smoothly in Minutesoriginal ↗
26 Jan 2019

2018

RL Baselines Zoooriginal ↗
23 Nov 2018
S-RL Toolboxoriginal ↗
10 Oct 2018
Stable Baselinesoriginal ↗
27 Sept 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learningoriginal ↗
1 Sept 2018
PythonRobotics: a Python code collection of robotics algorithmsoriginal ↗
31 Aug 2018
Stable Baselines: a Fork of OpenAI Baselines — Reinforcement Learning Made Easyoriginal ↗
20 Aug 2018
Simple and Robust {Computer — Arduino} Serial Communicationoriginal ↗
10 Feb 2018

2017

Autonomous Racing Robot With an Arduino, a Raspberry Pi and a Pi Cameraoriginal ↗
10 Nov 2017
Racing Robotoriginal ↗
27 Oct 2017
Arduino Robust Serialoriginal ↗
26 Oct 2017

2016

Unsupervised learning of state representations for multiple tasksoriginal ↗
1 Sept 2016