activity
20172022
most citedThe Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI20222 cited

The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents

Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi +7

Learned communication between agents is a powerful tool when approaching decision-making problems that are hard to overcome by any single agent in isolation. However, continual coo…

cs.AI20221 cited

Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making

Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi +6

In this paper, we contribute a multi-faceted study into Pavlovian signalling -- a process by which learned, temporally extended predictions made by one agent inform decision-making…

cs.AI2021

Solving Common-Payoff Games with Approximate Policy Iteration

Samuel Sokota, Edward Lockhart, Finbarr Timbers +6

For artificially intelligent learning systems to have widespread applicability in real-world settings, it is important that they be able to operate decentrally. Unfortunately, dece…

cs.CL2017

CLaC at SemEval-2016 Task 11: Exploring linguistic and psycho-linguistic Features for Complex Word Identification

Elnaz Davoodi, Leila Kosseim

This paper describes the system deployed by the CLaC-EDLK team to the "SemEval 2016, Complex Word Identification task". The goal of the task is to identify if a given word in a giv…

cs.CL2017

On the Contribution of Discourse Structure on Text Complexity Assessment

Elnaz Davoodi, Leila Kosseim

This paper investigates the influence of discourse features on text complexity assessment. To do so, we created two data sets based on the Penn Discourse Treebank and the Simple En…

cs.CL2017

CLaC @ QATS: Quality Assessment for Text Simplification

Elnaz Davoodi, Leila Kosseim

This paper describes our approach to the 2016 QATS quality assessment shared task. We trained three independent Random Forest classifiers in order to assess the quality of the simp…