research
∙
05/12/2022
A Generalist Agent
Inspired by progress in large-scale language modeling, we apply a simila...
share
research
∙
06/07/2021
Launchpad: A Programming Model for Distributed Machine Learning Research
A major driver behind the success of modern machine learning algorithms ...
research
∙
02/09/2021
Reverb: A Framework For Experience Replay
A central component of training in Reinforcement Learning (RL) is Experi...
research
∙
06/01/2020
Acme: A Research Framework for Distributed Reinforcement Learning
Deep reinforcement learning has led to many recent-and groundbreaking-ad...
research
∙
09/03/2019
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
This paper introduces R2D3, an agent that makes efficient use of demonst...
research
∙
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...
research
∙
05/29/2018
Observe and Look Further: Achieving Consistent Performance on Atari
Despite significant advances in the field of deep Reinforcement Learning...
research
∙
04/23/2018
Distributed Distributional Deterministic Policy Gradients
This work adopts the very successful distributional perspective on reinf...
research
∙
03/02/2018
