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07/19/2023
Android in the Wild: A Large-Scale Dataset for Android Device Control
There is a growing interest in device-control systems that can interpret...
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01/10/2023
Mastering Diverse Domains through World Models
General intelligence requires solving tasks across many domains. Current...
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11/21/2022
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback
An important goal in artificial intelligence is to create agents that ca...
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10/24/2022
Evaluating Long-Term Memory in 3D Mazes
Intelligent agents need to remember salient information to reason in par...
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10/15/2022
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Neuroscience has long been an important driver of progress in artificial...
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06/10/2022
Large-Scale Retrieval for Reinforcement Learning
Effective decision making involves flexibly relating past experiences an...
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06/07/2022
Intra-agent speech permits zero-shot task acquisition
Human language learners are exposed to a trickle of informative, context...
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05/26/2022
Evaluating Multimodal Interactive Agents
Creating agents that can interact naturally with humans is a common goal...
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02/25/2022
Equilibrium Aggregation: Encoding Sets via Optimization
Processing sets or other unordered, potentially variable-sized inputs in...
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02/17/2022
Retrieval-Augmented Reinforcement Learning
Most deep reinforcement learning (RL) algorithms distill experience into...
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02/16/2022
A data-driven approach for learning to control computers
It would be useful for machines to use computers as humans do so that th...
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12/07/2021
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
A common vision from science fiction is that robots will one day inhabit...
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02/05/2021
Symbolic Behaviour in Artificial Intelligence
The ability to use symbols is the pinnacle of human intelligence, but ha...
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12/10/2020
Imitating Interactive Intelligence
A common vision from science fiction is that robots will one day inhabit...
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10/05/2020
Mastering Atari with Discrete World Models
Intelligent agents need to generalize from past experience to achieve go...
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10/03/2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Intelligent robots need to achieve abstract objectives using concrete, s...
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09/11/2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
Recent work in deep reinforcement learning (RL) has produced algorithms ...
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06/22/2020
dm_control: Software and Tasks for Continuous Control
The dm_control software package is a collection of Python libraries and ...
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12/03/2019
Dream to Control: Learning Behaviors by Latent Imagination
Learned world models summarize an agent's experience to facilitate learn...
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12/02/2019
LOGAN: Latent Optimisation for Generative Adversarial Networks
Training generative adversarial networks requires balancing of delicate ...
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11/19/2019
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Constructing agents with planning capabilities has long been one of the ...
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05/16/2019
Deep Compressed Sensing
Compressed sensing (CS) provides an elegant framework for recovering spa...
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04/18/2019
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette
Brette contends that the neural coding metaphor is an invalid basis for ...
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04/10/2019
Deep Learning without Weight Transport
Current algorithms for deep learning probably cannot run in the brain be...
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04/10/2019
Using Weight Mirrors to Improve Feedback Alignment
Current algorithms for deep learning probably cannot run in the brain be...
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01/31/2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
Analogical reasoning has been a principal focus of various waves of AI r...
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01/11/2019
An investigation of model-free planning
The field of reinforcement learning (RL) is facing increasingly challeng...
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11/23/2018
Learning Attractor Dynamics for Generative Memory
A central challenge faced by memory systems is the robust retrieval of a...
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11/12/2018
Learning Latent Dynamics for Planning from Pixels
Planning has been very successful for control tasks with known environme...
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10/15/2018
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Humans spend a remarkable fraction of waking life engaged in acts of "me...
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10/04/2018
Episodic Curiosity through Reachability
Rewards are sparse in the real world and most today's reinforcement lear...
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07/24/2018
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Obtaining reliable uncertainty estimates of neural network predictions i...
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07/12/2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
The backpropagation of error algorithm (BP) is often said to be impossib...
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07/11/2018
Measuring abstract reasoning in neural networks
Whether neural networks can learn abstract reasoning or whether they mer...
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06/05/2018
Relational Deep Reinforcement Learning
We introduce an approach for deep reinforcement learning (RL) that impro...
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06/05/2018
Relational recurrent neural networks
Memory-based neural networks model temporal data by leveraging an abilit...
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04/23/2018
Distributed Distributional Deterministic Policy Gradients
This work adopts the very successful distributional perspective on reinf...
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04/05/2018
The Kanerva Machine: A Generative Distributed Memory
We present an end-to-end trained memory system that quickly adapts to ne...
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04/02/2018
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
In many environments only a tiny subset of all states yield high reward....
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03/28/2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Animals execute goal-directed behaviours despite the limited range and s...
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01/02/2018
DeepMind Control Suite
The DeepMind Control Suite is a set of continuous control tasks with a s...
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12/05/2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
The game of chess is the most widely-studied domain in the history of ar...
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08/16/2017
StarCraft II: A New Challenge for Reinforcement Learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinf...
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06/05/2017
A simple neural network module for relational reasoning
Relational reasoning is a central component of generally intelligent beh...
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06/01/2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Off-policy model-free deep reinforcement learning methods using previous...
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02/15/2017
Generative Temporal Models with Memory
We consider the general problem of modeling temporal data with long-rang...
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10/17/2016
Learning and Transfer of Modulated Locomotor Controllers
We study a novel architecture and training procedure for locomotion task...
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10/03/2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
Reinforcement learning holds the promise of enabling autonomous robots t...
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06/13/2016
Matching Networks for One Shot Learning
Learning from a few examples remains a key challenge in machine learning...
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03/02/2016
