Reachability-based trajectory safeguard (RTS): A safe and fast reinforcement learning safety layer for continuous control
Reinforcement Learning (RL) algorithms have achieved remarkable performance in
decision making and control tasks by reasoning about long-term, cumulative reward using …
decision making and control tasks by reasoning about long-term, cumulative reward using …
[PDF][PDF] Reachability-Based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
YS Shao, C Chen, S Kousik, R Vasudevan - IEEE Robotics and …, 2021 - par.nsf.gov
Reinforcement Learning (RL) algorithms have achieved remarkable performance in
decision making and control tasks by reasoning about long-term, cumulative reward using …
decision making and control tasks by reasoning about long-term, cumulative reward using …
[PDF][PDF] Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
YS Shao, C Chen, S Kousik, R Vasudevan - ieeexplore.ieee.org
Reinforcement Learning (RL) algorithms have achieved remarkable performance in
decision making and control tasks by reasoning about long-term, cumulative reward using …
decision making and control tasks by reasoning about long-term, cumulative reward using …
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
YS Shao, C Chen, S Kousik, R Vasudevan - arXiv preprint arXiv …, 2020 - arxiv.org
Reinforcement Learning (RL) algorithms have achieved remarkable performance in
decision making and control tasks due to their ability to reason about long-term, cumulative …
decision making and control tasks due to their ability to reason about long-term, cumulative …
[PDF][PDF] Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
YS Shao, C Chen, S Kousik, R Vasudevan - researchgate.net
Reinforcement Learning (RL) algorithms have achieved remarkable performance in
decision making and control tasks by reasoning about long-term, cumulative reward using …
decision making and control tasks by reasoning about long-term, cumulative reward using …
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control
YS Shao, C Chen, S Kousik, R Vasudevan - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Reinforcement Learning (RL) algorithms have achieved remarkable performance in
decision making and control tasks due to their ability to reason about long-term, cumulative …
decision making and control tasks due to their ability to reason about long-term, cumulative …