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09/14/2022
A Simple Approach for State-Action Abstraction using a Learned MDP Homomorphism
Animals are able to rapidly infer from limited experience when sets of s...
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05/31/2022
The CLRS Algorithmic Reasoning Benchmark
Learning representations of algorithms is an emerging area of machine le...
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04/08/2022
Semantic Exploration from Language Abstractions and Pretrained Representations
Continuous first-person 3D environments pose unique exploration challeng...
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02/17/2022
Retrieval-Augmented Reinforcement Learning
Most deep reinforcement learning (RL) algorithms distill experience into...
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07/12/2021
CoBERL: Contrastive BERT for Reinforcement Learning
Many reinforcement learning (RL) agents require a large amount of experi...
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07/12/2021
PonderNet: Learning to Ponder
In standard neural networks the amount of computation used grows with th...
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05/28/2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Reinforcement learning agents often forget details of the past, especial...
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01/29/2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Recent research developing neural network architectures with external me...
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11/11/2016
