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09/15/2022
Human-level Atari 200x faster
The task of building general agents that perform well over a wide range ...
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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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02/17/2022
Retrieval-Augmented Reinforcement Learning
Most deep reinforcement learning (RL) algorithms distill experience into...
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03/30/2020
Agent57: Outperforming the Atari Human Benchmark
Atari games have been a long-standing benchmark in the reinforcement lea...
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02/14/2020
Never Give Up: Learning Directed Exploration Strategies
We propose a reinforcement learning agent to solve hard exploration game...
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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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10/29/2019
Generalization of Reinforcement Learners with Working and Episodic Memory
Memory is an important aspect of intelligence and plays a role in many d...
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02/28/2018
Memory-based Parameter Adaptation
Deep neural networks have excelled on a wide range of problems, from vis...
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07/19/2017
Imagination-Augmented Agents for Deep Reinforcement Learning
We introduce Imagination-Augmented Agents (I2As), a novel architecture f...
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02/04/2016
