awesome-real-world-rl
github.com/ugurkanates/awesome-real-world-rl ↗Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me prominent researchers & companies to follow resources from awesome-real-world-rl"
Installation instructions →What's inside
Prominent Researchers & Companies to Follow
- 99andBeyond
Chemical Company Uses RL for Research,Biomedical & Chemistry.
- Ashvin Nair
UC Berkeley.
- Chelsea Finn
Stanford Uni,Google Brain.
- Damien Ernst
Real Life solutions to energy related problems.
- Google Brain & Robotics
Mostly Real Life RL Robotics projects.
- Maxim Lapan
Author of Deep RL Hands-On book.
Offline RL
Papers
- An empirical investigation of the challenges of real-world reinforcement learning
- A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning
- Asymmetric Actor Critic for Image-Based Robot Learning
- Challenges of Real-World Reinforcement Learning
- Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Conference Talks
- An empirical investigation of the challenges of real world Reinforcement Learning
- BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
- GPU Technology Conference 2017: Sim2real collision avoidance for indoor navigation of mobile robots
- Learning to Dock Robustly
- On Demand Ride Sharing with RL
- Reinforcement learning and it's growing role in AI with Real World examples - Microsoft 2020
Microsoft 2020
Education
- CMU Real Life Reinforcement Learning 2015
A lot of advanced topics as well as talks about DARPA RL Challenge.
- Reinforcement Learning Robot Course CMPUT 652 Fall 2019
- Stanford CS330 Meta RL + Multi Task by Chelsea Finn 2019-2020
Simulation to Real with GANs
Datasets
- D4RL: Datasets for Deep Data-Driven Reinforcement Learning
- Google Robotics Dataset
Includes Grasping-Push-Depth Image-Pouring-3DModels.
- GQ-CNN Object Mesh Datasets
- GQ-CNN Training Datasets
- HDF5 Database of 3D Objects, Parallel-Jaw Grasps for YuMi, and Robustness Metrics
- RoboNet - Large Scale Multi Robot Learning
Large Scale Multi Robot Learning
Books
- Deep RL Hands On 2nd Edition Packt Edition
Has entire chapter dedicated to real world robotics agent.
- Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Few chapters related to real world applications.
Showing a sample of 77 resources. View the full list on GitHub →