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Reactive Reinforcement Learning in Asynchronous Environments
The relationship between a reinforcement learning (RL) agent and an asynchronous environment is often ignored. Frequently used models of the interaction between an agent and its environment, such as Markov Decision Processes (MDP) or Semi-Markov Decision Processes (SMDP), do not capture the fact tha...
में बचाया:
| में प्रकाशित: | Front Robot AI |
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| मुख्य लेखकों: | , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Frontiers Media S.A.
2018
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805616/ https://ncbi.nlm.nih.gov/pubmed/33500958 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2018.00079 |
| टैग : |
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