Learning to Execute
13 papers with code • 0 benchmarks • 0 datasets
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Conditional Information Gain Trellis
Conditional computing processes an input using only part of the neural network's computational units.
MimicTouch: Learning Human's Control Strategy with Multi-Modal Tactile Feedback
To further mitigate the embodiment gap between humans and robots, we employ online residual reinforcement learning on the physical robot.
Graph Neural Networks are Dynamic Programmers
Recent advances in neural algorithmic reasoning with graph neural networks (GNNs) are propped up by the notion of algorithmic alignment.
Learning to execute or ask clarification questions
In this paper, we extend the Minecraft Corpus Dataset by annotating all builder utterances into eight types, including clarification questions, and propose a new builder agent model capable of determining when to ask or execute instructions.
How to transfer algorithmic reasoning knowledge to learn new algorithms?
Due to the fundamental differences between algorithmic reasoning knowledge and feature extractors such as used in Computer Vision or NLP, we hypothesise that standard transfer techniques will not be sufficient to achieve systematic generalisation.
Learning to execute instructions in a Minecraft dialogue
The Minecraft Collaborative Building Task is a two-player game in which an Architect (A) instructs a Builder (B) to construct a target structure in a simulated Blocks World Environment.
