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| Title | Link | Authors | Year | Relevant notes |
|---|---|---|---|---|
| Reinforcement Learning: An Introduction | Link | Richard S. Sutton and Andrew G. Barto | 1998 | |
| Deep Reinforcement Learning: A Brief Survey | Link | Kai Arulkumaran; Marc Peter Deisenroth; … | 2017 | |
| Vision-Based Autonomous Driving: A Hierarchical Reinforcement Learning Approach | Link | Jiao Wang; Haoyi Sun; Can Zhu | 2023 | |
| Advanced Deep Reinforcement Learning Strategies for Enhanced Autonomous Vehicle Navigation Systems | Link | M Dhinakaran; R.Thalapathi Rajasekaran; V. Balaji; V. Aarthi; S. Ambika | 2024 | |
| Exploring applications of deep reinforcement learning for real-world autonomous driving systems | Link | • Victor Talpaert | ||
| • Ibrahim Sobh | ||||
| • Bangalore Ravi Kiran | ||||
| • Patrick Perez | 2019 | |||
| Autonomous Driving System based on Deep Q Learnig | Link | Takafumi Okuyama; Tad Gonsalves; Jaychand Upadhay | 2018 | main paper for DQN |
| An Adaptive Federated Reinforcement Learning Framework with Proximal Policy Optimization for Autonomous Driving | Link | Huan Chen; Kuan-Lin Chen; Hsin-Yao Hsu; Jia-You Hsieh | 2023 | nice short overview about PPO. anche interessante considerazione sulla non-necessità di avere grossi dataset per l’allenamento, evitando quindi bias |
| Proximal Policy Optimization-based Reinforcement Learning for End-to-end Autonomous Driving | Link | Yang Wu; Xin Yua | 2023 | more detailed overview about PPO |
Exploring_applications_of_deep_reinforcement_learn.pdf
Original DQN paper
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. 2015. Human-level control through deep reinforcement learning. Nature 518, 7540 (2015), 529–533.
Original PPO paper:
Schulman, J., Wolski, F., Dhariwal, P., Radford, A., & Klimov, O. (2017). Proximal Policy Optimization Algorithms. arXiv:1707.06347 [cs.LG].
Original TRPO paper:
Schulman, J., Levine, S., Abbeel, P., Jordan, M., & Moritz, P. (2015). Trust Region Policy Optimization. In Proceedings of the 32nd International Conference on Machine Learning (pp. 1889–1897). Lille, France: PMLR.