20 citations · 20 across the 3 of their papers we have counts for
4 papers
Self-Referenced Social Preferences: Cooperation without Observing Others Rewards
Mohamed Ayman Mohamed, Harshil Kotamreddy, Marcos Menon Jose
Social preferences can promote cooperation in multi-agent reinforcement learning, but existing approaches often require agents to observe the rewards of their peers. In many real-w…
The Cell Must Go On: Agar.io for Continual Reinforcement Learning
Mohamed A. Mohamed, Kateryna Nekhomiazh, Vedant Vyas +3
Continual reinforcement learning (RL) concerns agents that are expected to learn continually, rather than converge to a policy that is then fixed for evaluation. This setting is we…
PeLLE: Encoder-based language models for Brazilian Portuguese based on open data
Guilherme Lamartine de Mello, Marcelo Finger, and Felipe Serras +4
In this paper we present PeLLE, a family of large language models based on the RoBERTa architecture, for Brazilian Portuguese, trained on curated, open data from the Carolina corpu…
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean
André F. A. Paschoal, Paulo Pirozelli, Valdinei Freire +8
Current research in natural language processing is highly dependent on carefully produced corpora. Most existing resources focus on English; some resources focus on languages such…