Jonathan D Thomas | DeepAI

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research

∙ 12/22/2022

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers

This project leverages advances in multi-agent reinforcement learning (M...

0 Aleksandar Krnjaic, et al. ∙

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∙ 09/13/2022

Federated Meta-Learning for Traffic Steering in O-RAN

The vision of 5G lies in providing high data rates, low latency (for the...

0 Hakan Erdol, et al. ∙

research

∙ 06/06/2022

Effects of Reward Shaping on Curriculum Learning in Goal Conditioned Tasks

Real-time control for robotics is a popular research area in the reinfor...

0 Mihai Anca, et al. ∙

research

∙ 03/03/2021

Self-play Learning Strategies for Resource Assignment in Open-RAN Networks

Open Radio Access Network (ORAN) is being developed with an aim to democ...

0 Xiaoyang Wang, et al. ∙