
The MineRL BASALT Competition on Learning from Human Feedback
The last decade has seen a significant increase of interest in deep lear...
read it

Towards robust and domain agnostic reinforcement learning competitions
Reinforcement learning competitions have formed the basis for standard r...
read it

Iterative Bounding MDPs: Learning Interpretable Policies via NonInterpretable Methods
Current work in explainable reinforcement learning generally produces po...
read it

The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
Although deep reinforcement learning has led to breakthroughs in many di...
read it

Guaranteeing Reproducibility in Deep Learning Competitions
To encourage the development of methods with reproducible and robust tra...
read it

The MineRL Competition on SampleEfficient Reinforcement Learning Using Human Priors: A Retrospective
To facilitate research in the direction of sampleefficient reinforcemen...
read it

Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning
To facilitate research in the direction of sampleefficient reinforcemen...
read it

MineRL: A LargeScale Dataset of Minecraft Demonstrations
The sample inefficiency of standard deep reinforcement learning methods ...
read it

Conservative QImprovement: Reinforcement Learning for an Interpretable DecisionTree Policy
There is a growing desire in the field of reinforcement learning (and ma...
read it

Generation of PolicyLevel Explanations for Reinforcement Learning
Though reinforcement learning has greatly benefited from the incorporati...
read it

The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
Though deep reinforcement learning has led to breakthroughs in many diff...
read it

SuperConvergence: Very Fast Training of Residual Networks Using Large Learning Rates
In this paper, we show a phenomenon, which we named "superconvergence",...
read it

Exploring loss function topology with cyclical learning rates
We present observations and discussion of previously unreported phenomen...
read it

Deep Convolutional Neural Network Design Patterns
Recent research in the deep learning field has produced a plethora of ne...
read it
Nicholay Topin
is this you? claim profile
Focus of study is Machine Learning, both Reinforcement Learning and Deep Learning