Search Results for author: Lucas Oliveira Souza

Found 2 papers, 1 papers with code

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments

1 code implementation31 Dec 2021 Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad

Next, we study the performance of this architecture on two separate benchmarks requiring task-based adaptation: Meta-World, a multi-task reinforcement learning environment where a robotic agent must learn to solve a variety of manipulation tasks simultaneously; and a continual learning benchmark in which the model's prediction task changes throughout training.

Continual Learning Multi-Task Learning

Experience Sharing Between Cooperative Reinforcement Learning Agents

no code implementations6 Nov 2019 Lucas Oliveira Souza, Gabriel de Oliveira Ramos, Celia Ghedini Ralha

It follows that experience sharing (ES) between autonomous and independent agents could become the key to accelerate learning in cooperative multiagent settings.

reinforcement-learning Reinforcement Learning (RL)

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