Search Results for author: Jeremy Forest

Found 2 papers, 2 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

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