Horde: A Scalable Real-time Architecture for Learning Knowledge from Unsupervised Sensorimotor Interaction
Using RL value functions to encode semantic knowledge, specifically by a robot.
Posts by Collection
publications
Off-Policy Actor-Critic
Off-Policy AC with linear state features. Includes elegibility traces.
Human-level control through deep reinforcement learning
One of the first deep reinforcement learning papers.
Deep Reinforcement Learning with Double Q-learning
Improved Q-value estimation by reducing overestimates of Deep Q-networks.
Reinforcement Learning: An Introduction (2nd Edition)
In-progress second edition of an RL textbook.
Attention and Augmented Recurrent Neural Networks
Overview (with references) of attention and several types of augmentation for RNNs.
Reinforcement Learning with Unsupervised Auxiliary Tasks
Increase speed of a Reinforcement Learning system with auxiliary task.
Questions and Intuition for Tackling Deep Learning Problems
Five questions to ask about your deep learning project.
A simple neural network module for relational reasoning
Relationships between objects.
One Model To Learn Them All
A single ML model used for very different tasks.
Eligibility Traces
Notes on using Eligibility Traces with neural networks
Deep Learning in Robotics: A Review of Recent Research
A long review of the use of DL in robotics
An Overview of Multi-Task Learning in Deep Neural Networks
A long review of the use of DL in robotics
Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning
Pre-train using supervised learning on human provided demonstations.
Mastering the game of Go without human knowledge
AlphaGo Zero, all RL self-play.
Tensorizing LSTMs
Tensorizing LSTMs to make them wider and deeper without adding parameters and with minimal extra compute costs.
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations.
World Models
Unsupervised learning of image encoding and dynamics model.
Unsupervised Predictive Memory in a Goal-Directed Agent
Unsupervised training of a memory that is used for prediction of state and reward.
Learning Real-World Robot Policies by Dreaming
Unsupervised learning of image encoding, dynamics and reward models.
Sample-Efficient Deep RL with Generative Adversarial Tree Search
Learned dynamics model with a GAN for image generation and MCTS for planning.
Unicorn: Continual learning with a universal, off-policy agent
Continual learning with a universal, off-policy agent.
On the link between conscious function and general intelligence in humans and machines
Access consciousness and it’s relation to general intelligence