- Reinforcement Learning State-of-the-Art by Marco Wiering et al.
- Probabilistic Robotics by Sebastian Thrun et al.
- Decision Making Under Uncertainty by Mykel J. Kochenderfer
- Neuro-Dynamic Programming by Dimitri P. Bertsekas et al.
- Statistical Reinforcement Learning by Masashi Sugiyama
- Markov Decision Processes by Martin L. Puterman
- Approximate Dynamic Programming by Warren B. Powell
- Reinforcement Learning and Dynamic Programming Using Function Approximators by Lucian Busoniu et al.
- Optimal Control Theory by Donald E. Kirk
- Dynamic Programming by Richard Bellman
- Dynamic Programming and Optimal Control Vol I by Dimitri P. Bertsekas
- Dynamic Programming and Optimal Control Vol II by Dimitri P. Bertsekas
- Reinforcement Learning: An Introduction by Richard S. Sutton et al.