Learning From Guided Play: Improving Exploration for Adversarial Imitation Learning With Simple Auxiliary Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3236882
Abstract: Adversarial imitation learning (AIL) has become a popular alternative to supervised imitation learning that reduces the distribution shift suffered by the latter. However, AIL requires effective exploration during an online reinforcement learning phase. In this… read more here.
Keywords: adversarial imitation; learning guided; imitation learning; exploration ... See more keywords
Long-Term Active Object Detection for Service Robots: Using Generative Adversarial Imitation Learning With Contextualized Memory Graph
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2024.3468636
Abstract: Active object detection (AOD) is a crucial task in embodied artificial intelligence within robotics. Previous works mainly address this challenge through deep reinforcement learning (DRL), characterized by prolonged training cycles and model convergence difficulties. Moreover,… read more here.
Keywords: active object; adversarial imitation; memory; object detection ... See more keywords
Heading and Path-Following Control of Autonomous Surface Ships Based on Generative Adversarial Imitation Learning
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13091623
Abstract: Autonomous ship control faces significant challenges due to the diversity of ship types, the complexity of task scenarios, and the uncertainty of dynamic marine environments. These factors limit the effectiveness of traditional control approaches that… read more here.
Keywords: adversarial imitation; control; path following; generative adversarial ... See more keywords