On-policy reinforcement learning via ensemble Gaussian processes with application to resource allocation
Reinforcement learning (RL) is an interactive decisionmaking tool with well documented
merits for resource allocation tasks in uncertain environments, such as those emerging with …
merits for resource allocation tasks in uncertain environments, such as those emerging with …
[PDF][PDF] On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation
KD Polyzos, Q Lu, A Sadeghi… - Asilomar Conference on …, 2022 - par.nsf.gov
Reinforcement learning (RL) is an interactive decisionmaking tool with well documented
merits for resource allocation tasks in uncertain environments, such as those emerging with …
merits for resource allocation tasks in uncertain environments, such as those emerging with …
On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation
K Polyzos, Q Lu, A Sadeghi… - … Asilomar Conference on …, 2021 - experts.umn.edu
Reinforcement learning (RL) is an interactive decisionmaking tool with well documented
merits for resource allocation tasks in uncertain environments, such as those emerging with …
merits for resource allocation tasks in uncertain environments, such as those emerging with …