An adversarial car trained with a collision-based reward reliably decreases the reward of a PPO-trained ego vehicle in Highway-Env, and a robust PPO policy trained against it recovers performance.
Control of a quadrotor with reinforcement learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning
An adversarial car trained with a collision-based reward reliably decreases the reward of a PPO-trained ego vehicle in Highway-Env, and a robust PPO policy trained against it recovers performance.