Game-theoretic Objective Space Planning

16 September 2022

Papers citing "Game-theoretic Objective Space Planning"

23 / 23 papers shown

Title
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing Edward L. Zhu Francesco Borrelli 55 20 0 29 Mar 2024
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing Johannes Betz Hongrui Zheng Alexander Liniger Ugo Rosolia Phillip Karle Madhur Behl Venkat Krovi Rahul Mangharam 56 219 0 14 Feb 2022
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies Tim Seyde Igor Gilitschenski Wilko Schwarting Bartolomeo Stellato Martin Riedmiller Markus Wulfmeier Daniela Rus 50 44 0 03 Nov 2021
Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing Chanyoung Jung Seungwoo Lee Hyunki Seong Andrea Finazzi David Hyunchul Shim 20 23 0 08 Jun 2021
ALGAMES: A Fast Augmented Lagrangian Solver for Constrained Dynamic Games Simon Le Cleac'h Mac Schwager Zachary Manchester 38 58 0 17 Apr 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space Wilko Schwarting Tim Seyde Igor Gilitschenski Lucas Liebenwein Ryan M Sander S. Karaman Daniela Rus BDL 30 37 0 19 Feb 2021
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 101 132 0 12 Nov 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha Matthew O'Kelly Hongrui Zheng Rahul Mangharam John C. Duchi Russ Tedrake OffRL 91 27 0 09 Mar 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 95 1,333 0 03 Dec 2019
Stochastic Dynamic Games in Belief Space Wilko Schwarting Alyssa Pierson S. Karaman Daniela Rus 120 61 0 16 Sep 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning Sandy H. Huang Martina Zambelli Jackie Kay M. Martins Yuval Tassa P. Pilarski R. Hadsell 48 50 0 20 Mar 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 98 851 0 01 Mar 2019
Deep Counterfactual Regret Minimization Noam Brown Adam Lerer Sam Gross Tuomas Sandholm 46 213 0 01 Nov 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 56 90 0 16 Jul 2018
World Models David R Ha Jürgen Schmidhuber SyDa 98 1,050 0 27 Mar 2018
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing R. Spica Davide Falanga E. Cristofalo Eduardo Montijano Davide Scaramuzza Mac Schwager 31 120 0 08 Jan 2018
A Non-Cooperative Game Approach to Autonomous Racing Alexander Liniger John Lygeros 46 120 0 11 Dec 2017
Regret Minimization for Partially Observable Deep Reinforcement Learning Peter H. Jin Kurt Keutzer Sergey Levine 38 51 0 31 Oct 2017
Autonomous Racing with AutoRally Vehicles and Differential Games Grady Williams Brian Goldfain P. Drews James M. Rehg Evangelos A. Theodorou 20 22 0 14 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 64 997 0 16 Jun 2017
The CMA Evolution Strategy: A Tutorial N. Hansen 52 1,362 0 04 Apr 2016
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 98 12,163 0 19 Dec 2013
Determinantal point processes for machine learning Alex Kulesza B. Taskar 213 1,130 0 25 Jul 2012