Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dobre, Mihai"'
Autor:
Antonello, Morris, Dobre, Mihai, Albrecht, Stefano V., Redford, John, Ramamoorthy, Subramanian
Motion prediction of road users in traffic scenes is critical for autonomous driving systems that must take safe and robust decisions in complex dynamic environments. We present a novel motion prediction system for autonomous driving. Our system is b
Externí odkaz:
http://arxiv.org/abs/2203.08251
Autor:
Hanna, Josiah P., Rahman, Arrasy, Fosong, Elliot, Eiras, Francisco, Dobre, Mihai, Redford, John, Ramamoorthy, Subramanian, Albrecht, Stefano V.
Recognising the goals or intentions of observed vehicles is a key step towards predicting the long-term future behaviour of other agents in an autonomous driving scenario. When there are unseen obstacles or occluded vehicles in a scenario, goal recog
Externí odkaz:
http://arxiv.org/abs/2108.02530
Autor:
Albrecht, Stefano V., Brewitt, Cillian, Wilhelm, John, Gyevnar, Balint, Eiras, Francisco, Dobre, Mihai, Ramamoorthy, Subramanian
We propose an integrated prediction and planning system for autonomous driving which uses rational inverse planning to recognise the goals of other vehicles. Goal recognition informs a Monte Carlo Tree Search (MCTS) algorithm to plan optimal maneuver
Externí odkaz:
http://arxiv.org/abs/2002.02277
Autor:
Fainberg, Joachim, Krause, Ben, Dobre, Mihai, Damonte, Marco, Kahembwe, Emmanuel, Duma, Daniel, Webber, Bonnie, Fancellu, Federico
Conversational agents are gaining popularity with the increasing ubiquity of smart devices. However, training agents in a data driven manner is challenging due to a lack of suitable corpora. This paper presents a novel method for gathering topical, u
Externí odkaz:
http://arxiv.org/abs/1809.06641
Autor:
Krause, Ben, Damonte, Marco, Dobre, Mihai, Duma, Daniel, Fainberg, Joachim, Fancellu, Federico, Kahembwe, Emmanuel, Cheng, Jianpeng, Webber, Bonnie
We present Edina, the University of Edinburgh's social bot for the Amazon Alexa Prize competition. Edina is a conversational agent whose responses utilize data harvested from Amazon Mechanical Turk (AMT) through an innovative new technique we call se
Externí odkaz:
http://arxiv.org/abs/1709.09816
Autor:
Brewitt, Cillian, Albrecht, Stefano V, Wilhelm, John, Gyevnar, Balint, Eiras, Francisco, Dobre, Mihai, Ramamoorthy, Ram
Publikováno v:
Brewitt, C, Albrecht, S V, Wilhelm, J, Gyevnar, B, Eiras, F, Dobre, M & Ramamoorthy, R 2020, ' Autonomous Driving with Interpretable Goal Recognition and Monte Carlo Tree Search ', Paper presented at Interaction and Decision-Making in Autonomous-Driving, 13/07/20-13/07/20 . < https://drive.google.com/file/d/1dIWMbcAN35v8mCCcccWDbbBo7pSbKGuW/view >
—The ability to predict the intentions and driving trajectories of other vehicles is a key problem for autonomous driving. We propose an integrated planning and prediction system which leverages the computational benefit of using a finite space of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::192b3e26bd4d25a0ddaab6a439215328
https://hdl.handle.net/20.500.11820/dad1c1af-dda4-4256-8eea-5b25b055a4e3
https://hdl.handle.net/20.500.11820/dad1c1af-dda4-4256-8eea-5b25b055a4e3
Autor:
Dobre, Mihai, Lascarides, Alexandra
Publikováno v:
Dobre, M & Lascarides, A 2018, POMCP with Human Preferences in Settlers of Catan . in Proceedings of the Fourteenth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2018) . University of Alberta, Edmonton, AB, Canada, pp. 17-23, The 14th AAAI Conference on Artificial Intelligence and Interactive, Edmonton, Canada, 13/11/18 . < https://www.aaai.org/ocs/index.php/AIIDE/AIIDE18/paper/view/18091 >
We present a suite of techniques for extending the Partially Observable Monte Carlo Planning algorithm to handle complex multi-agent games. We design the planning algorithm to exploit the inherent structure of the game. When game rules naturally clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::656872a0e670d868f10ed0cdbba84228
https://www.pure.ed.ac.uk/ws/files/74746054/POMCP_with_human_preferences_in_settlers_of_catan.pdf
https://www.pure.ed.ac.uk/ws/files/74746054/POMCP_with_human_preferences_in_settlers_of_catan.pdf
Autor:
Dobre, Mihai S., Lascarides, Alex
Publikováno v:
Dobre, M S & Lascarides, A 2017, Combining a Mixture of Experts with Transfer Learning in Complex Games . in Proceedings of the AAAI Spring Symposium: Learning from Observation of Humans . Stanford, pp. 487-493, 2017 AAAI Spring Symposium: Learning from Observation of Humans, Palo Alto, United States, 27/03/17 . < https://www.aaai.org/ocs/index.php/SSS/SSS17/paper/view/15240 >
We present a supervised approach for learning policies in a highly complex game from small amounts of human data consisting of state–action pairs. Our Neural Network architecture can adapt to the varying size of the set of legal actions, thus bypas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::15981832906da0111ce9ee69c86367ca
https://www.pure.ed.ac.uk/ws/files/30208958/final.pdf
https://www.pure.ed.ac.uk/ws/files/30208958/final.pdf
Autor:
Dobre, Mihai
Publikováno v:
Arhivele Totalitarismului; 2018, Vol. 26 Issue 3/4, p279-283, 5p
Autor:
Dobre, Mihai Sorin, Lascarides, Alex
Publikováno v:
2015 IEEE Conference on Computational Intelligence & Games (CIG); 2015, p60-67, 8p