CARLA

CARLA is a benchmark dataset used to evaluate reinforcement learning methods for autonomous driving, containing simulated environments that facilitate the testing of agent behaviors and safety during exploration.

Papers using CARLA (37)

Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving2026Integrating LTL Constraints into PPO for Safe Reinforcement Learning2026Beyond 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 Braking2026In-Context Policy Adaptation via Cross-Domain Skill Diffusion2025Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning2025Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving2025 · 1 citesMulti-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 Learning2025Imagine-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 citesEdge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions2025 · 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 Improvement2024CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving2025AdaWM: Adaptive World Model based Planning for Autonomous Driving2025Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning2025HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving2025Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration2025Towards 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 Scenarios2025ME$^3$-BEV: Mamba-Enhanced Deep Reinforcement Learning for End-to-End Autonomous Driving with BEV-Perception2025Multi-Agent Reinforcement Learning in Intelligent Transportation Systems: A Comprehensive Survey2025Tackling Snow-Induced Challenges: Safe Autonomous Lane-Keeping with Robust Reinforcement Learning2025DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving2026Sim2Real-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 Safety2026An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios2024LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models2025