Massimo Caccia (optimass)

optimass

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Company:MILA

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Massimo Caccia's repositories

continual_learning_papers

Relevant papers in Continual Learning

Maximally_Interfered_Retrieval

Codebase for "Online Continual Learning with Maximally Interfered Retrieval"

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Optimal_hedging_ARHMM

Codebase for "Option Pricing and Hedging for Discrete Time Autoregressive Hidden Markov Model"

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jelly-bean-world

A framework for experimenting with never-ending learning

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Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

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optimass.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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Sequoia

The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

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webarena

Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"

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