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Sim-to-real transfer of robotic control with dynam...
Domain randomization and generative models for rob...
Competitive self-play
Meta-learning for wrestling
Nonlinear computation in deep linear networks
Learning to model other minds
Learning with opponent-learning awareness
OpenAI Baselines: ACKTR & A2C
More on Dota 2
Dota 2
Gathering human feedback
Better exploration with parameter noise
Proximal Policy Optimization
Robust adversarial inputs
Hindsight Experience Replay
Teacher–student curriculum learning
Faster physics in Python
Learning from human preferences
Learning to cooperate, compete, and communicate
UCB exploration via Q-ensembles
OpenAI Baselines: DQN
Robots that learn
Roboschool
Equivalence between policy gradients and soft Q-le...
Stochastic Neural Networks for hierarchical reinfo...
Unsupervised sentiment neuron
Spam detection in the physical world
Evolution strategies as a scalable alternative to ...
One-shot imitation learning
Distill
Learning to communicate
Emergence of grounded compositional language in mu...
Prediction and control with temporal segment model...
Third-person imitation learning
Attacking machine learning with adversarial exampl...
Adversarial attacks on neural network policies
Team update
PixelCNN++: Improving the PixelCNN with discretize...
Faulty reward functions in the wild
Universe
OpenAI and Microsoft
#Exploration: A study of count-based exploration f...
On the quantitative analysis of decoder-based gene...
A connection between generative adversarial networ...
RL²: Fast reinforcement learning via slow reinforc...
Variational lossy autoencoder
Extensions and limitations of the neural GPU
Semi-supervised knowledge transfer for deep learni...
Report from the self-organizing conference
Transfer from simulation to real world through lea...
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