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pro vyhledávání: '"Dunion, Mhairi"'
Meta-Reinforcement Learning (Meta-RL) agents can struggle to operate across tasks with varying environmental features that require different optimal skills (i.e., different modes of behaviours). Using context encoders based on contrastive learning to
Externí odkaz:
http://arxiv.org/abs/2406.04815
Autor:
Dunion, Mhairi, Albrecht, Stefano V.
The performance of image-based Reinforcement Learning (RL) agents can vary depending on the position of the camera used to capture the images. Training on multiple cameras simultaneously, including a first-person egocentric camera, can leverage infor
Externí odkaz:
http://arxiv.org/abs/2404.14064
Autor:
Dunion, Mhairi, McInroe, Trevor, Luck, Kevin Sebastian, Hanna, Josiah P., Albrecht, Stefano V.
Reinforcement Learning (RL) environments can produce training data with spurious correlations between features due to the amount of training data or its limited feature coverage. This can lead to RL agents encoding these misleading correlations in th
Externí odkaz:
http://arxiv.org/abs/2305.14133
Autor:
Ahmed, Ibrahim H., Brewitt, Cillian, Carlucho, Ignacio, Christianos, Filippos, Dunion, Mhairi, Fosong, Elliot, Garcin, Samuel, Guo, Shangmin, Gyevnar, Balint, McInroe, Trevor, Papoudakis, Georgios, Rahman, Arrasy, Schäfer, Lukas, Tamborski, Massimiliano, Vecchio, Giuseppe, Wang, Cheng, Albrecht, Stefano V.
The development of autonomous agents which can interact with other agents to accomplish a given task is a core area of research in artificial intelligence and machine learning. Towards this goal, the Autonomous Agents Research Group develops novel ma
Externí odkaz:
http://arxiv.org/abs/2208.01769
Autor:
Dunion, Mhairi, McInroe, Trevor, Luck, Kevin Sebastian, Hanna, Josiah P., Albrecht, Stefano V.
Reinforcement Learning (RL) agents are often unable to generalise well to environment variations in the state space that were not observed during training. This issue is especially problematic for image-based RL, where a change in just one variable,
Externí odkaz:
http://arxiv.org/abs/2207.05480