Learning and exploiting shaped reward models for large scale multiagent RL
Many real world systems involve interaction among large number of agents to achieve a common goal, for example, air traffic control. Several model-free RL algorithms have been proposed for such settings. A key limitation is that the empirical reward signal in model-free case is not very effective in...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6126 https://ink.library.smu.edu.sg/context/sis_research/article/7129/viewcontent/ICAPS_2021___Learning_Shaped_Reward_Models_for_Large_Scale_Multiagent_RL.pdf |
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| Institution: | Singapore Management University |
| Language: | English |