Retrieval-Augmented Reinforcement Learning. | 0 | 0.34 | 2022 |
Equilibrium aggregation: encoding sets via optimization. | 0 | 0.34 | 2022 |
The Brain-Computer Metaphor Debate Is Useless: A Matter of Semantics | 0 | 0.34 | 2022 |
A data-driven approach for learning to control computers. | 0 | 0.34 | 2022 |
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning. | 0 | 0.34 | 2021 |
Mastering Atari with Discrete World Models | 0 | 0.34 | 2021 |
Towards Biologically Plausible Convolutional Networks. | 0 | 0.34 | 2021 |
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network | 0 | 0.34 | 2020 |
Meta-Learning Deep Energy-Based Memory Models | 0 | 0.34 | 2020 |
Automated curriculum generation through setter-solver interactions. | 0 | 0.34 | 2020 |
Training Generative Adversarial Networks by Solving Ordinary Differential Equations | 0 | 0.34 | 2020 |
Compressive Transformers for Long-Range Sequence Modelling | 1 | 0.35 | 2020 |
Dream to Control: Learning Behaviors by Latent Imagination | 0 | 0.34 | 2020 |
Noise Contrastive Priors for Functional Uncertainty. | 1 | 0.34 | 2019 |
Recall Traces: Backtracking Models for Efficient Reinforcement Learning | 0 | 0.34 | 2019 |
Composing Entropic Policies using Divergence Correction. | 0 | 0.34 | 2019 |
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette. | 0 | 0.34 | 2019 |
Experience Replay for Continual Learning | 0 | 0.34 | 2019 |
Deep Learning without Weight Transport. | 0 | 0.34 | 2019 |
Learning to Make Analogies by Contrasting Abstract Relational Structure. | 0 | 0.34 | 2019 |
An investigation of model-free planning. | 1 | 0.35 | 2019 |
Meta-Learning Neural Bloom Filters. | 1 | 0.35 | 2019 |
Deep reinforcement learning with relational inductive biases. | 5 | 0.41 | 2019 |
Deep Compressed Sensing. | 0 | 0.34 | 2019 |
The Kanerva Machine: A Generative Distributed Memory. | 1 | 0.35 | 2018 |
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures | 0 | 0.34 | 2018 |
Measuring abstract reasoning in neural networks. | 10 | 0.55 | 2018 |
Distributed Distributional Deterministic Policy Gradients. | 20 | 0.70 | 2018 |
Vector-based navigation using grid-like representations in artificial agents. | 27 | 1.26 | 2018 |
Learning Attractor Dynamics for Generative Memory. | 1 | 0.35 | 2018 |
Unsupervised Predictive Memory in a Goal-Directed Agent. | 13 | 0.87 | 2018 |
Fast Parametric Learning with Activation Memorization. | 7 | 0.46 | 2018 |
Optimizing Agent Behavior over Long Time Scales by Transporting Value. | 3 | 0.38 | 2018 |
Relational recurrent neural networks. | 9 | 0.46 | 2018 |
Relational Deep Reinforcement Learning. | 18 | 0.74 | 2018 |
Episodic Curiosity through Reachability. | 9 | 0.46 | 2018 |
Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction. | 0 | 0.34 | 2018 |
Learning Latent Dynamics for Planning from Pixels. | 9 | 0.48 | 2018 |
DeepMind Control Suite. | 0 | 0.34 | 2018 |
Discovering objects and their relations from entangled scene representations. | 23 | 1.00 | 2017 |
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. | 2 | 0.39 | 2017 |
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. | 67 | 2.10 | 2017 |
Generative Temporal Models with Memory. | 10 | 0.66 | 2017 |
Mastering the game of Go without human knowledge. | 562 | 19.06 | 2017 |
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates. | 84 | 2.18 | 2017 |
Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights. | 6 | 0.42 | 2017 |
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning. | 20 | 1.04 | 2017 |
A simple neural network module for relational reasoning. | 129 | 3.03 | 2017 |
StarCraft II: A New Challenge for Reinforcement Learning. | 46 | 1.67 | 2017 |
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation. | 15 | 0.75 | 2017 |