Cover Image

A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer towards Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Dianzhao, Okhrin, Ostap
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer
by: Li, Dianzhao, et al.
Published: (2023)

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, et al.
Published: (2025)

Autonomous Driving Small-Scale Cars: A Survey of Recent Development
by: Li, Dianzhao, et al.
Published: (2024)

MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning
by: Chen, Guangli, et al.
Published: (2026)

V-Max: A Reinforcement Learning Framework for Autonomous Driving
by: Charraut, Valentin, et al.
Published: (2025)

CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
by: Uppuluri, Bhargava, et al.
Published: (2025)

TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
by: Jiang, Yunfan, et al.
Published: (2024)

Two-step dynamic obstacle avoidance
by: Hart, Fabian, et al.
Published: (2023)

Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
by: Tang, Zuojin, et al.
Published: (2024)

Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
by: Su, Wensheng, et al.
Published: (2024)

Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
by: Terence, Ng Wen Zheng, et al.
Published: (2024)

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
by: Gu, Xinyang, et al.
Published: (2024)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
by: Rowe, Luke, et al.
Published: (2024)

Self-organized free-flight arrival for urban air mobility
by: Waltz, Martin, et al.
Published: (2024)

X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real
by: Dan, Prithwish, et al.
Published: (2025)

Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking
by: Chang, Kevin, et al.
Published: (2025)

A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2024)

DrEureka: Language Model Guided Sim-To-Real Transfer
by: Ma, Yecheng Jason, et al.
Published: (2024)

Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
by: Choi, Andrew, et al.
Published: (2026)

Dynamics-Decoupled Trajectory Alignment for Sim-to-Real Transfer in Reinforcement Learning for Autonomous Driving
by: Steinecker, Thomas, et al.
Published: (2025)

Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving
by: Sygkounas, Alkis, et al.
Published: (2025)

Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)

Scaling Is All You Need: Autonomous Driving with JAX-Accelerated Reinforcement Learning
by: Harmel, Moritz, et al.
Published: (2023)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)

PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
by: Lin, Fangze, et al.
Published: (2024)

NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving
by: Kim, Donghyun, et al.
Published: (2024)

Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)

Learning Sim-to-Real Humanoid Locomotion in 15 Minutes
by: Seo, Younggyo, et al.
Published: (2025)

HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)

Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
by: Li, Keyu, et al.
Published: (2021)

Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
by: Anvar, Timur, et al.
Published: (2025)

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)

A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions
by: Minghao, Zhang, et al.
Published: (2024)

Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation
by: Torne, Marcel, et al.
Published: (2024)

Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
by: Turcato, Niccolò, et al.
Published: (2025)

Bootstrapping Reinforcement Learning with Sub-optimal Policies for Autonomous Driving
by: Zhang, Zhihao, et al.
Published: (2025)

Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)

Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing
by: Waltz, Martin, et al.
Published: (2022)

REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer
by: Li, Changze, et al.
Published: (2026)