research
∙
09/15/2022
Human-level Atari 200x faster
The task of building general agents that perform well over a wide range ...
share
research
∙
05/31/2022
The CLRS Algorithmic Reasoning Benchmark
Learning representations of algorithms is an emerging area of machine le...
research
∙
02/17/2022
Retrieval-Augmented Reinforcement Learning
Most deep reinforcement learning (RL) algorithms distill experience into...
research
∙
03/30/2020
Agent57: Outperforming the Atari Human Benchmark
Atari games have been a long-standing benchmark in the reinforcement lea...
research
∙
02/14/2020
Never Give Up: Learning Directed Exploration Strategies
We propose a reinforcement learning agent to solve hard exploration game...
research
∙
01/29/2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Recent research developing neural network architectures with external me...
research
∙
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...
research
∙
02/28/2018
Memory-based Parameter Adaptation
Deep neural networks have excelled on a wide range of problems, from vis...
research
∙
07/19/2017
Imagination-Augmented Agents for Deep Reinforcement Learning
We introduce Imagination-Augmented Agents (I2As), a novel architecture f...
research
∙
02/04/2016