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Robust Autonomy Emerges from Self-Play

Robust Autonomy Emerges from Self-Play

5 February 2025
Marco Cusumano-Towner
David Hafner
Alex Hertzberg
Brody Huval
Aleksei Petrenko
Eugene Vinitsky
Erik Wijmans
Taylor Killian
Stuart Bowers
Ozan Sener
Philipp Krahenbuhl
V. Koltun
ArXiv (abs)PDFHTML

Papers citing "Robust Autonomy Emerges from Self-Play"

18 / 18 papers shown
Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search
Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search
Samuel Sokota
Eugene Vinitsky
Hengyuan Hu
J. Zico Kolter
Gabriele Farina
80
0
0
10 Nov 2025
ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
Zhenxin Li
Wenhao Yao
Zi Wang
Xinglong Sun
Jingde Chen
...
Maying Shen
Jingyu Song
Zuxuan Wu
Shiyi Lan
Jose M. Alvarez
163
2
0
28 Oct 2025
SPACeR: Self-Play Anchoring with Centralized Reference Models
SPACeR: Self-Play Anchoring with Centralized Reference Models
Wei-Jer Chang
Akshay Rangesh
Kevin Joseph
Matthew Strong
Masayoshi Tomizuka
Yihan Hu
Wei Zhan
85
0
0
20 Oct 2025
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
Tianyi Tan
Yinan Zheng
Ruiming Liang
Zexu Wang
Kexin Zheng
Jinliang Zheng
Jianxiong Li
Xianyuan Zhan
Jingjing Liu
129
5
0
13 Oct 2025
Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
Pengxiang Li
Yinan Zheng
Y. Wang
Huimin Wang
Hang Zhao
Jingjing Liu
Xianyuan Zhan
Kun Zhan
Xianpeng Lang
128
7
0
24 Sep 2025
RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
Carlo Bosio
Greg Woelki
Noureldin Hendy
Nicholas Roy
Byungsoo Kim
117
0
0
24 Sep 2025
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
Yarden As
Chengrui Qu
Benjamin Unger
Dongho Kang
Max van der Hart
Laixi Shi
Stelian Coros
Adam Wierman
Andreas Krause
OffRL
341
1
0
23 Sep 2025
Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving
Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving
Mingyi Wang
Jingke Wang
Tengju Ye
Junbo Chen
Kaicheng Yu
AILaw
186
2
0
02 Sep 2025
Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning
Jack Zeng
Andreu Matoses Gimenez
Eugene Vinitsky
Javier Alonso-Mora
Sihao Sun
191
3
0
02 Aug 2025
Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation
Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation
Xiuyu Yang
Shuhan Tan
Philipp Krahenbuhl
267
2
0
20 Jun 2025
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
Anton Razzhigaev
Matvey Mikhalchuk
Klim Kireev
Igor Udovichenko
Andrey Kuznetsov
Aleksandr Petiushko
257
10
0
11 Jun 2025
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling
Xiaolong Tang
Meina Kan
Shiguang Shan
Xilin Chen
436
3
0
23 May 2025
RIFT: Group-Relative RL Fine-Tuning for Realistic and Controllable Traffic Simulation
RIFT: Group-Relative RL Fine-Tuning for Realistic and Controllable Traffic Simulation
Keyu Chen
Wenchao Sun
Hao Cheng
Sifa Zheng
423
3
0
06 May 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards
CaRL: Learning Scalable Planning Policies with Simple Rewards
Bernhard Jaeger
D. Dauner
Jens Beißwenger
Simon Gerstenecker
Kashyap Chitta
Andreas Geiger
574
11
0
24 Apr 2025
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Yixuan Even Xu
Yash Savani
Fei Fang
Zico Kolter
OffRL
439
48
0
18 Apr 2025
Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback
Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback
Steffen Hagedorn
Aron Distelzweig
Marcel Hallgarten
Alexandru Paul Condurache
312
3
0
18 Apr 2025
Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better
Good Actions Succeed, Bad Actions Generalize: A Case Study on Why RL Generalizes Better
Meng Song
OffRL
153
0
0
19 Mar 2025
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Kumar Manas
Adrian Paschke
391
1
0
13 Feb 2025
1
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