- Textbook Probabilistic Robotics [link]
- Udacity AI for Robotics [link]
- Robust Monte Carlo Localization for Mobile Robots. Sebastian Thrun. [link]
- ROS slam_gmapping [link]
- A Tutorial on Graph-Based SLAM, Grisetti [link]
- GraphSLAM, Thrun [link]
- RTAB-MAP Parameter Tutorial [link]
- roswtf
- tf library
- rqt console
- RTAB-MAP wiki ros
- Turtlebot Mapping
- ROS Kobuki
- ROS depthimage to laserscan
- TD_Gammon [link]
- Alphago Zero [link]
- Atari Games [link]
- Dota 2 [link]
- Self-Driving Cars [link]
- Telecommunication [link]
- Inventory Management [link]
- Convergence of Optimistic and Incremental Q-Learning [link]
- Deep Learning in a Nutshell: Reinforcement Learning [link]
- Neural fitted Q iteration. Riedmiller, Martin. [link]
- DQN. Human-level control through deep RL. Minh et al. [link]
- Experience Replay. RL for robots using neural networks. Long-Ji Lin. [link]
- Pytorch
- OpenAI Gym
- ROS Contact Sensor Tutorial [link]
- ROS Contact Sensor API [link]
- Minkowski sums and differences [link]
- Collions in video games [link]
- Configuration Space Visualization [link]
- Heuristics [link]
- Path Finding Visualization [link]
- MovingAI A* Variants [link]
- Variants of A* [link]
- A Comparative Study of Probabilistic Roadmap Planners [link]
- Path planning for Non-Circular Mico Aerial Vehicles in Constrained Environment [link]
- Learning to navigate in complex environments. Mirowski, Piotr [link]
- RL with unsupervised auxiliary tasks. DeepMind [link]
- Asynchronous methods for DRL. Mnih, Volodymyr. [link]
- Simple RL with Tensorflow: A3C. [link]
- A brief survey of Deep RL. Arulkumaran, Kai et al. [link]
- Self-supervised Deep Reinforcement Learning with Generalized Compuation Graphs for Robot Navigation. Kahn, Gregoary, et al. [link]
- Target-driven visual navigation in indoor scenes using Deep RL. Zhu, Yuke, et al. [link]