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08/07/2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
StarCraft II is one of the most challenging simulated reinforcement lear...
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06/20/2023
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
The ability to leverage heterogeneous robotic experience from different ...
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05/12/2022
A Generalist Agent
Inspired by progress in large-scale language modeling, we apply a simila...
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03/17/2021
Regularized Behavior Value Estimation
Offline reinforcement learning restricts the learning process to rely on...
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06/24/2020
RL Unplugged: Benchmarks for Offline Reinforcement Learning
Offline methods for reinforcement learning have the potential to help br...
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06/01/2020
Acme: A Research Framework for Distributed Reinforcement Learning
Deep reinforcement learning has led to many recent-and groundbreaking-ad...
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09/26/2019
A Framework for Data-Driven Robotics
We present a framework for data-driven robotics that makes use of a larg...
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02/01/2019
TF-Replicator: Distributed Machine Learning for Researchers
We describe TF-Replicator, a framework for distributed machine learning ...
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10/11/2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
Humans are experts at high-fidelity imitation -- closely mimicking a dem...
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04/17/2018
Learning Awareness Models
We consider the setting of an agent with a fixed body interacting with a...
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07/11/2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
This paper introduces the Intentional Unintentional (IU) agent. This age...
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06/20/2017
Programmable Agents
We build deep RL agents that execute declarative programs expressed in f...
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03/14/2017
Learned Optimizers that Scale and Generalize
Learning to learn has emerged as an important direction for achieving ar...
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03/10/2017
Parallel Multiscale Autoregressive Density Estimation
PixelCNN achieves state-of-the-art results in density estimation for nat...
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11/11/2016