Model-Based Imitation LearningBehavioral cloning; Learning from demonstration; Machine learning; Robotics; Skill transfer Model-based imitation refers to a family of machine-learning methods, which can be used to quickly...doi:10.1007/978-1-4419-1428-6_563Robert Babuska...
然而他们发现,相比于正常的Model-free的方法,虽然Model-based方法能很快就找到一个初步合理的解,但是其最终收敛的Reward却低于Model-free的方法。 Model-free fine tune vs Model-free 所以他们的解决方案是先用Model-based方法训练出一个基本的解(绿色线),然后用其作为Imitation Learning的Expert训练出一个Model-free...
最近组里在讨论接下来在强化学习这块的研究方向,在讨论之前,我们把强化学习各个子方向的论文都粗略过了一下,涉及到model-free/model-based/multi-agent/deep exploration/meta-learning/imitation learning/application/distributed training等方向。我想着当时查找阅读相关文章花费了不少精力,决定开个专栏把我看的论文给整理...
内容提示: Imitation Game: A Model-based and ImitationLearning Deep Reinforcement Learning HybridEric MSP Veith 1,2 Torben Logemann 1 Aleksandr Berezin 2 Arlena Wellßow 1,2 Stephan Balduin 21 Carl von Ossietzky University OldenburgResearch Group Adversarial Resilience LearningOldenburg, GermanyEmail:...
A model-based approach for the problem of adversarial imitation learning. We show how to use a forward model to make the system fully differentiable, which enables us to train policies using the (stochastic) gradient of D D D . Moreover, our approach requires relatively few environment ...
Deep reinforcement learning and imitation learning based on VizDoom Reinforcement learning is a field of machine learning that focuses on intelligent agents, primarily the concept of what actions an intelligent agent takes ... Y Xu - 《Proceedings of the International Conference on Electronic Information...
Model-Based Imitation Learning for Urban Driving Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zachary Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton Key: model-based, imitation learning, autonomous driving OpenReview: 7, 6, 6 ExpEnv: CARLA Data-Driven Model-Base...
【RLChina 论文研讨会】第3期 赖行 On Effective Scheduling of Model-based 12:30 【RLChina 论文研讨会】第2期 刘明桓 Curriculum Offline Imitation Learning 29:38 【RLChina 论文研讨会】第2期 白辰甲 Dynamic Bottleneck for Robust Self-Supervised Exploration 24:33 【RLChina 论文研讨会】第2期 李锡涵...
Model-based imitation learning by probabilistic trajectory matching One of the most elegant ways of teaching new skills to robots is to provide demonstrations of a task and let the robot imitate this behavior. Such imitatio... P Englert,A Paraschos,J Peters,... - IEEE International Conference...
This study presents a coordinated control method based on reinforcement learning for multiple mobile manipulators when strong constraints and close couplin... P Xu,Y Cui,WQ Tang - Engineering Applications of Artificial Intelligence: The International Journal of Intelligent Real-Time Automation 被引量: ...