Taming the Adversary: A Cost-to-Disturbance Ratio Approach to Adversarial Reinforcement Learning
cs.LG, cs.AI
Submitted: 2026-03-12
Updated: 2026-09-18
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Continuous control with deep reinforcement learning
- Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey
- Robust Reinforcement Learning using Adversarial Populations
- Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
- Learning H-Infinity Locomotion Control
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