33 citations · 33 across the 1 of their papers we have counts for
3 papers
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch +5
Data efficiency is a key challenge for deep reinforcement learning. We address this problem by using unlabeled data to pretrain an encoder which is then finetuned on a small amount…
Emergent Communication under Competition
Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou +1
The literature in modern machine learning has only negative results for learning to communicate between competitive agents using standard RL. We introduce a modified sender-receive…
Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanisław Jastrzębski, Dzmitry Bahdanau, Seyedarian Hosseini +3
Commonsense knowledge bases such as ConceptNet represent knowledge in the form of relational triples. Inspired by the recent work by Li et al., we analyse if knowledge base complet…