Risk Averse Robust Adversarial Reinforcement Learning

31 March 2019

Papers citing "Risk Averse Robust Adversarial Reinforcement Learning"

23 / 23 papers shown

Title
Online Episodic Convex Reinforcement Learning B. Moreno Khaled Eldowa Pierre Gaillard Margaux Brégère Nadia Oudjane OffRL 29 0 0 12 May 2025
Return Capping: Sample-Efficient CVaR Policy Gradient Optimisation Harry Mead Clarissa Costen Bruno Lacerda Nick Hawes 24 0 0 29 Apr 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 90 0 0 27 Apr 2025
LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning Chan Kim Seung-Woo Seo Seong-Woo Kim OODD 155 0 0 21 Mar 2025
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions Mohammad K. Al-Sharman Luc Edes Bert Sun Vishal Jayakumar Mohamed A. Daoud Derek Rayside W. Melek 26 1 0 20 Sep 2024
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 35 4 0 06 Nov 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula Lijun Sun Yu-Cheng Chang Chao Lyu Chin-Teng Lin Yuhui Shi 35 1 0 27 Jul 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 41 0 0 25 Apr 2023
Robotic Packaging Optimization with Reinforcement Learning E. Drijver Rodrigo Pérez-Dattari Jens Kober Cosimo Della Santina Zlatan Ajanović OffRL 21 1 0 26 Mar 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity Lebin Yu Yunbo Qiu Quanming Yao Xudong Zhang Jian Wang 14 1 0 10 Feb 2023
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning Kun-Yen Huang E. Hu Dinesh Jayaraman OffRL 28 5 0 17 Dec 2022
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network Sourav Sanyal Kaushik Roy PINN 34 22 0 19 Sep 2022
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang-Cuong Pham 41 1 0 15 Sep 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control Shubhankar Agarwal Sandeep P. Chinchali AAML 32 4 0 13 Apr 2022
Reward-Free Attacks in Multi-Agent Reinforcement Learning Ted Fujimoto T. Doster A. Attarian Jill M. Brandenberger Nathan Oken Hodas AAML 19 4 0 02 Dec 2021
Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach Jiawei Wang Lijun Sun 9 6 0 02 Nov 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 24 5 0 09 Jul 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 35 34 0 15 Mar 2021
Risk-Averse Bayes-Adaptive Reinforcement Learning Marc Rigter Bruno Lacerda Nick Hawes 17 41 0 10 Feb 2021
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar Aviral Kumar Sergey Levine Chelsea Finn OffRL 11 90 0 27 Oct 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 29 16 0 24 Mar 2020
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 229 809 0 13 Nov 2016
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 75 308 0 22 May 2012