Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks
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Updated
Jan 31, 2026 - Jupyter Notebook
Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks
Heterogeneous Multi-agent Version of Highway-env
An extension of the Planner-Actor-Reporter framework applied to autonomous vehicles in Highway-Env and CARLA.
Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images
Implementation of Deep Deterministic Policy Gradient (DDPG) method on autonomous vehicle within the highway-env
Reinforcement Learning Final Project
stress testing black-box AVs with MARL
DQN-based autonomous driving agent on Highway-Env. Trained with Stable-Baselines3. Balances speed, collision avoidance, and lane discipline.
🚗 Analyze and visualize decision-making in autonomous driving RL agents using Integrated Gradients for clearer interpretability in complex driving tasks.
Reinforcement Learning : Autonomous parallel parking task. implementing SAC and DreamerV3's World Model on Highway-env
Development of autonomous agents driving safely in highway environment using Reinforcement Learning
Interactive Learning, Fall 2022, University of Tehran
Three scripts that train DQN and PPO at one traffic density in highway-env, evaluate them at three, and write the results to a CSV and figures.
using reinforcement learning
Interpretability in Autonomous Driving: Visual Attribution Analysis of RL Agents
PPO agent trained to navigate highway-env - mean reward 20.7, zero crashes, with reward curve and video evaluation
PPO with TTC-based reward shaping on merge-v0. PPO with time-to-collision reward shaping on highway-env merge-v0. Multi-seed evaluation shows 58% relative reduction in crash rate (p=0.024) vs sparse collision baseline. CMP4501 course project.
决策规划学习笔记:highway-env 多场景 + 规则Agent + YOLO感知叠加
Text-to-Reward RL for highway-env: an LLM writes, validates, and evolves complete Python reward functions for a PPO agent, with built-in reward-hacking detection.
RL/IL/Diffusion baselines for autonomous-driving decision-making in highway-env (PPO, SAC; CARLA & Diffusion Policy planned)
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