Knowledge transfer in multi-task deep reinforcement learning for continuous control

Z Xu, K Wu, Z Che, J Tang, J Ye - Advances in Neural …, 2020 - proceedings.neurips.cc
Abstract While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that is capable of …
被引用次数：39 相关文章

Knowledge transfer in multi-task deep reinforcement learning for continuous control

Z Xu, K Wu, Z Che, J Tang, J Ye - Proceedings of the 34th International …, 2020 - dl.acm.org
While Deep Reinforcement Learning (DRL) has emerged as a promising approach to many
complex tasks, it remains challenging to train a single DRL agent that is capable of …

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Z Xu, K Wu, Z Che, J Tang, J Ye - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Abstract While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that is capable of …

Knowledge transfer in multi-task deep reinforcement learning for continuous control

Z Xu, K Wu, Z Che, J Tang, J Ye - Advances in Neural Information …, 2020 - experts.syr.edu
Abstract While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that is capable of …
[PDF] researchgate.net

[PDF][PDF] Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Z Xu, K Wu, Z Che, J Tang, J Ye - arXiv preprint arXiv:2010.07494, 2020 - researchgate.net
Abstract While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that is capable of …

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Z Xu, K Wu, Z Che, J Tang, J Ye - arXiv preprint arXiv:2010.07494, 2020 - arxiv.org
While Deep Reinforcement Learning (DRL) has emerged as a promising approach to many
complex tasks, it remains challenging to train a single DRL agent that is capable of …
[PDF] academia.edu

[PDF][PDF] Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Z Xu, K Wu, Z Che, J Tang, J Ye - arXiv preprint arXiv:2010.07494, 2020 - academia.edu
Abstract While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that is capable of …

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Z Xu, K Wu, Z Che, J Tang, J Ye - Advances in Neural …, 2020 - proceedings.neurips.cc
Abstract While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that is capable of …

[引用][C] Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Z Xu, K Wu, Z Che, J Tang, J Ye - openreview.net
Abstract While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that is capable of …
[PDF] researchgate.net

[PDF][PDF] Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Z Xu, K Wu, Z Che, J Tang, J Ye - arXiv preprint arXiv:2010.07494, 2020 - researchgate.net
Abstract While Deep Reinforcement Learning (DRL) has emerged as a promising approach
to many complex tasks, it remains challenging to train a single DRL agent that is capable of …