Recent breakthroughs in the development of agents to solve challenging
s...
Adaptive curricula in reinforcement learning (RL) have proven effective ...
In this report, we summarize the takeaways from the first NeurIPS 2021
N...
The progress in deep reinforcement learning (RL) is heavily driven by th...
Open-domain Question Answering models which directly leverage question-a...
We review the EfficientQA competition from NeurIPS 2020. The competition...
Progress in Reinforcement Learning (RL) algorithms goes hand-in-hand wit...
A key challenge for reinforcement learning (RL) consists of learning in
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Large pre-trained language models have been shown to store factual knowl...
Effective network congestion control strategies are key to keeping the
I...
TorchBeast is a platform for reinforcement learning (RL) research in PyT...
We present a method for using previously-trained 'teacher' agents to
kic...
This paper introduces SC2LE (StarCraft II Learning Environment), a
reinf...
DeepMind Lab is a first-person 3D game platform designed for research an...