Access consciousness and its relation to general intelligence
read moreUnicorn: Continual learning with a universal, off-policy agent
Continual learning with a universal, off-policy agent.
read moreSample-Efficient Deep RL with Generative Adversarial Tree Search
Learned dynamics model with a GAN for image generation and MCTS for planning.
read moreLearning Real-World Robot Policies by Dreaming
Unsupervised learning of image encoding, dynamics and reward models.
read moreUnsupervised Predictive Memory in a Goal-Directed Agent
Unsupervised training of a memory that is used for prediction of state and reward.
read moreWorld Models
Unsupervised learning of image encoding and dynamics model.
read morePretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations.
read moreTensorizing LSTMs
Tensorizing LSTMs to make them wider and deeper without adding parameters and with minimal extra compute costs.
read moreMastering the game of Go without human knowledge
AlphaGo Zero, all RL self-play.
read morePre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning
Pre-train using supervised learning on human provided demonstations.
read moreAn Overview of Multi-Task Learning in Deep Neural Networks
A long review of the use of DL in robotics
read moreDeep Learning in Robotics: A Review of Recent Research
A long review of the use of DL in robotics
read moreEligibility Traces
Notes on using Eligibility Traces with neural networks
read moreOne Model To Learn Them All
A single ML model used for very different tasks.
read moreA simple neural network module for relational reasoning
Relationships between objects.
read moreQuestions and Intuition for Tackling Deep Learning Problems
Five questions to ask about your deep learning project.
read moreReinforcement Learning with Unsupervised Auxiliary Tasks
Increase speed of a Reinforcement Learning system with auxiliary task.
read moreAttention and Augmented Recurrent Neural Networks
Overview (with references) of attention and several types of augmentation for RNNs.
read moreDeep Reinforcement Learning with Double Q-learning
Improved Q-value estimation by reducing overestimates of Deep Q-networks.
read moreHuman-level control through deep reinforcement learning
One of the first deep reinforcement learning papers.
read more
