CARLA

CARLA is a dataset and benchmark used to evaluate reinforcement learning methods for autonomous driving, containing simulated environments that allow for safe exploration and learning in complex driving scenarios.

Papers using CARLA (37)

Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving2026Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving2025 · 2 citesHCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving2025 · 1 citesEdge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions2025 · 1 citesSim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving2026Drowsiness-Aware Adaptive Autonomous Braking System based on Deep Reinforcement Learning for Enhanced Road Safety2026Integrating LTL Constraints into PPO for Safe Reinforcement Learning2026DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving2026Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving2026Reinforcement Learning Enhancement Using Vector Semantic Representation and Symbolic Reasoning for Human-Centered Autonomous Emergency Braking2026Tackling Snow-Induced Challenges: Safe Autonomous Lane-Keeping with Robust Reinforcement Learning2025In-Context Policy Adaptation via Cross-Domain Skill Diffusion2025ME$^3$-BEV: Mamba-Enhanced Deep Reinforcement Learning for End-to-End Autonomous Driving with BEV-Perception2025Multi-Agent Reinforcement Learning in Intelligent Transportation Systems: A Comprehensive Survey2025Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration2025Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning2025Towards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control2025Ego-centric Learning of Communicative World Models for Autonomous Driving2025BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios2025Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections2025CaRL: Learning Scalable Planning Policies with Simple Rewards2025AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement Learning2025Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning2025CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving2025AdaWM: Adaptive World Model based Planning for Autonomous Driving2025LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models2025Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies2024Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents2024 · 3 citesVLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving2024 · 1 citesDeep Reinforcement Learning for Adverse Garage Scenario Generation2024Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation2024An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving2024From Imitation to Exploration: End-to-end Autonomous Driving based on World Model2024VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making2024Traffic Co-Simulation Framework Empowered by Infrastructure Camera Sensing and Reinforcement Learning2024Active Reinforcement Learning Strategies for Offline Policy Improvement2024An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios2024