Alert button
Picture for Vahid Behzadan

Vahid Behzadan

Alert button

Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)

Jun 03, 2019
Vahid Behzadan, William Hsu

Figure 1 for Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)
Figure 2 for Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)
Figure 3 for Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)
Figure 4 for Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE)
Viaarxiv icon

RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies

Jun 03, 2019
Vahid Behzadan, William Hsu

Figure 1 for RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies
Figure 2 for RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies
Figure 3 for RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies
Figure 4 for RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies
Viaarxiv icon

TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles

Nov 14, 2018
Vahid Behzadan, James Minton, Arslan Munir

Figure 1 for TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles
Figure 2 for TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles
Figure 3 for TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles
Viaarxiv icon

Emergence of Addictive Behaviors in Reinforcement Learning Agents

Nov 14, 2018
Vahid Behzadan, Roman V. Yampolskiy, Arslan Munir

Figure 1 for Emergence of Addictive Behaviors in Reinforcement Learning Agents
Figure 2 for Emergence of Addictive Behaviors in Reinforcement Learning Agents
Figure 3 for Emergence of Addictive Behaviors in Reinforcement Learning Agents
Viaarxiv icon

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning

Oct 23, 2018
Vahid Behzadan, Arslan Munir

Figure 1 for The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Figure 2 for The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Figure 3 for The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Figure 4 for The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Viaarxiv icon

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

Viaarxiv icon

Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise

Jun 04, 2018
Vahid Behzadan, Arslan Munir

Figure 1 for Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
Figure 2 for Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
Figure 3 for Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
Viaarxiv icon

Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles

Jun 04, 2018
Vahid Behzadan, Arslan Munir

Figure 1 for Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles
Figure 2 for Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles
Figure 3 for Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles
Viaarxiv icon

A Psychopathological Approach to Safety Engineering in AI and AGI

May 23, 2018
Vahid Behzadan, Arslan Munir, Roman V. Yampolskiy

Figure 1 for A Psychopathological Approach to Safety Engineering in AI and AGI
Viaarxiv icon

Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger

Dec 23, 2017
Vahid Behzadan, Arslan Munir

Figure 1 for Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger
Figure 2 for Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger
Figure 3 for Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger
Figure 4 for Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger
Viaarxiv icon