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03/02/2023
Learning not to Regret
Regret minimization is a key component of many algorithms for finding Na...
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11/02/2022
Over-communicate no more: Situated RL agents learn concise communication protocols
While it is known that communication facilitates cooperation in multi-ag...
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05/24/2022
Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization
Vision-and-language (V L) models pretrained on large-scale multimodal ...
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03/17/2022
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents
Learned communication between agents is a powerful tool when approaching...
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01/11/2022
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making
In this paper, we contribute a multi-faceted study into Pavlovian signal...
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12/14/2021
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study
Artificial intelligence systems increasingly involve continual learning ...
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12/06/2021
Player of Games
Games have a long history of serving as a benchmark for progress in arti...
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01/11/2021
Solving Common-Payoff Games with Approximate Policy Iteration
For artificially intelligent learning systems to have widespread applica...
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09/08/2017
CLaC at SemEval-2016 Task 11: Exploring linguistic and psycho-linguistic Features for Complex Word Identification
This paper describes the system deployed by the CLaC-EDLK team to the "S...
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08/19/2017
The CLaC Discourse Parser at CoNLL-2015
This paper describes our submission (kosseim15) to the CoNLL-2015 shared...
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08/19/2017
On the Contribution of Discourse Structure on Text Complexity Assessment
This paper investigates the influence of discourse features on text comp...
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08/19/2017
CLaC @ QATS: Quality Assessment for Text Simplification
This paper describes our approach to the 2016 QATS quality assessment sh...
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08/11/2017