Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Avalos, Raphael"'
Publikováno v:
Reinforcement Learning Journal, vol. 1, no. 1, 2024, pp. TBD
In key real-world problems, full state information is sometimes available but only at a high cost, like activating precise yet energy-intensive sensors or consulting humans, thereby compelling the agent to operate under partial observability. For thi
Externí odkaz:
http://arxiv.org/abs/2407.18812
We introduce the Laser Learning Environment (LLE), a collaborative multi-agent reinforcement learning environment in which coordination is central. In LLE, agents depend on each other to make progress (interdependence), must jointly take specific seq
Externí odkaz:
http://arxiv.org/abs/2404.03596
Communication plays a vital role in multi-agent systems, fostering collaboration and coordination. However, in real-world scenarios where communication is bandwidth-limited, existing multi-agent reinforcement learning (MARL) algorithms often provide
Externí odkaz:
http://arxiv.org/abs/2306.10134
Partially Observable Markov Decision Processes (POMDPs) are used to model environments where the full state cannot be perceived by an agent. As such the agent needs to reason taking into account the past observations and actions. However, simply reme
Externí odkaz:
http://arxiv.org/abs/2303.03284
Publikováno v:
Transactions on Machine Learning Research - October 2023
Many recent successful off-policy multi-agent reinforcement learning (MARL) algorithms for cooperative partially observable environments focus on finding factorized value functions, leading to convoluted network structures. Building on the structure
Externí odkaz:
http://arxiv.org/abs/2112.12458
Publikováno v:
IEEE Transactions on Mobile Computing; December 2024, Vol. 23 Issue: 12 p15080-15097, 18p
Partially Observable Markov Decision Processes (POMDPs) are useful tools to model environments where the full state cannot be perceived by an agent. As such the agent needs to reason taking into account the past observations and actions. However, sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa589a5b13e115a2fa260a371c3c7a31
https://biblio.vub.ac.be/vubir/(27de2a46-557d-4dd7-8f88-9b9cd12ded7b).html
https://biblio.vub.ac.be/vubir/(27de2a46-557d-4dd7-8f88-9b9cd12ded7b).html