Merge pull request #553 from lucalazzaroni/patch-1

Added publications using highway-env
Farama-Foundation · Jan 13, 2024 · 2f9634d · 2f9634d
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@@ -216,8 +216,14 @@ List of publications & preprints using `highway-env` (please open a pull request
 *   [Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios](https://arxiv.org/abs/2107.04538) (Jul 2021)
 *   [Automatic Overtaking on Two-way Roads with Vehicle Interactions Based on Proximal Policy Optimization](https://ieeexplore.ieee.org/abstract/document/9575954) (Jul 2021)
 *   [Robust Predictable Control](https://arxiv.org/abs/2109.03214) (Sep 2021)
+*   [Adapting Autonomous Agents for Automotive Driving Games](https://link.springer.com/chapter/10.1007/978-3-030-92182-8_10) (Nov 2021)
 *   [Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network](https://ieeexplore.ieee.org/document/9892901) (Jul 2022)
 *   [Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller](https://ieeexplore.ieee.org/document/9921741) (Oct 2022)
+*   [High-Level Decision-Making Non-player Vehicles](https://link.springer.com/chapter/10.1007/978-3-031-22124-8_22) (Nov 2022)
+*   [Designing an Interpretability Analysis Framework for Deep Reinforcement Learning (DRL) Agents in Highway Automated Driving Simulation](https://link.springer.com/chapter/10.1007/978-3-031-26066-7_37) (Feb 2023)
+*   [Explaining a Deep Reinforcement Learning (DRL)-Based Automated Driving Agent in Highway Simulations](https://ieeexplore.ieee.org/document/10077125) (Mar 2023)
+*   [Investigating High-Level Decision Making for Automated Driving](https://link.springer.com/chapter/10.1007/978-3-031-30333-3_41) (Apr 2023)
+*   [Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles](https://journal.seriousgamessociety.org/index.php/IJSG/article/view/638) (Nov 2023)
 
 PhD theses
 *   [Reinforcement learning for Dialogue Systems optimization with user adaptation](https://hal.inria.fr/tel-02422691/) (2019)