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
Reinforcement Learning : Autonomous parallel parking task. implementing SAC and DreamerV3's World Model on Highway-env
Interpretability in Autonomous Driving: Visual Attribution Analysis of RL Agents
Interactive Learning, Fall 2022, University of Tehran
🚗 Analyze and visualize decision-making in autonomous driving RL agents using Integrated Gradients for clearer interpretability in complex driving tasks.
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