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03/07/2022
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Hyperparameter (HP) tuning in deep learning is an expensive process, pro...
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12/13/2019
Dota 2 with Large Scale Deep Reinforcement Learning
On April 13th, 2019, OpenAI Five became the first AI system to defeat th...
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10/10/2017
Emergent Complexity via Multi-Agent Competition
Reinforcement learning algorithms can train agents that solve problems i...
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06/14/2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
The recent adaptation of deep neural network-based methods to reinforcem...
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06/06/2017
Parameter Space Noise for Exploration
Deep reinforcement learning (RL) methods generally engage in exploratory...
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06/05/2017
UCB Exploration via Q-Ensembles
We show how an ensemble of Q^*-functions can be leveraged for more effec...
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03/10/2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
We explore the use of Evolution Strategies (ES), a class of black box op...
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02/09/2016
