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05/02/2022
Triangular Dropout: Variable Network Width without Retraining
One of the most fundamental design choices in neural networks is layer w...
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12/01/2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Most approaches to deep reinforcement learning (DRL) attempt to solve a ...
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03/09/2021
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
Advances in reinforcement learning (RL) have resulted in recent breakthr...
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06/22/2020
PICO: Primitive Imitation for COntrol
In this work, we explore a novel framework for control of complex system...
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02/25/2020