mlsanityData to 14 Oct 2026

An Independent Study of Reinforcement Learning and Autonomous Driving

arXiv 2110.07729 ↗First posted 20 Aug 2021cs.AI cs.ROcited by 1

On the map: End-to-end autonomous driving → Reinforcement learning for driving

Abstract (arXiv)

Reinforcement learning has become one of the most trending subjects in the recent decade. It has seen applications in various fields such as robot manipulations, autonomous driving, path planning, computer gaming, etc. We accomplished three tasks during the course of this project. Firstly, we studied the Q-learning algorithm for tabular environments and applied it successfully to an OpenAi Gym environment, Taxi. Secondly, we gained an understanding of and implemented the deep Q-network algorithm for Cart-Pole environment. Thirdly, we also studied the application of reinforcement learning in autonomous driving and its combination with safety check constraints (safety controllers). We trained a rough autonomous driving agent using highway-gym environment and explored the effects of various environment configurations like reward functions on the agent training performance.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Reinforcement learning for driving, one of 9 directions in End-to-end autonomous driving. Builds on 2 of its 10 references that are in the map. First posted on arXiv 20 Aug 2021.

Builds on

2 of 10 references.

References · 2

  1. 2013Playing Atari with Deep Reinforcement Learningcited by 3,274
  2. 2020Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehiclescited by 110

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.

  1. 2024End-To-End Training and Testing Gamification Framework to Learn Human Highway Drivingcited by 2

Similar, not cited

Close in wording, no citation either way

  1. 2021Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment
  2. 2024Self-Driving Car Racing: Application of Deep Reinforcement Learning
  3. 2022Discrete Control in Real-World Driving Environments using Deep Reinforcement Learning
  4. 2024Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
  5. 2022Comparative Study of Q-Learning and NeuroEvolution of Augmenting Topologies for Self Driving Agents
  6. 2021Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving
  7. 2022Robust AI Driving Strategy for Autonomous Vehicles
  8. 2023Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation