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Learning Montezuma’s Revenge from a single demonstration

Learning Montezuma’s Revenge from a single demonst...

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OpenAI Five

OpenAI Five

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Retro Contest: Results

Retro Contest: Results

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Learning policy representations in multiagent systems

Learning policy representations in multiagent syst...

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Improving language understanding with unsupervised learning

Improving language understanding with unsupervised...

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GamePad: A learning environment for theorem proving

GamePad: A learning environment for theorem provin...

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OpenAI Fellows Fall 2018

OpenAI Fellows Fall 2018

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Gym Retro

Gym Retro

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AI and compute

AI and compute

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AI safety via debate

AI safety via debate

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Evolved Policy Gradients

Evolved Policy Gradients

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Gotta Learn Fast: A new benchmark for generalization in RL

Gotta Learn Fast: A new benchmark for generalizati...

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Retro Contest

Retro Contest

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Variance reduction for policy gradient with action-dependent factorized baselines

Variance reduction for policy gradient with action...

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Improving GANs using optimal transport

Improving GANs using optimal transport

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Report from the OpenAI hackathon

Report from the OpenAI hackathon

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On first-order meta-learning algorithms

On first-order meta-learning algorithms

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Reptile: A scalable meta-learning algorithm

Reptile: A scalable meta-learning algorithm

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OpenAI Scholars

OpenAI Scholars

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Some considerations on learning to explore via meta-reinforcement learning

Some considerations on learning to explore via met...

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Multi-Goal Reinforcement Learning: Challenging robotics environments and request for research

Multi-Goal Reinforcement Learning: Challenging rob...

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Ingredients for robotics research

Ingredients for robotics research

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OpenAI hackathon

OpenAI hackathon

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OpenAI supporters

OpenAI supporters

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Preparing for malicious uses of AI

Preparing for malicious uses of AI

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Interpretable machine learning through teaching

Interpretable machine learning through teaching

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Discovering types for entity disambiguation

Discovering types for entity disambiguation

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Requests for Research 2.0

Requests for Research 2.0

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Scaling Kubernetes to 2,500 nodes

Scaling Kubernetes to 2,500 nodes

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Block-sparse GPU kernels

Block-sparse GPU kernels

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Learning sparse neural networks through L₀ regularization

Learning sparse neural networks through L₀ regular...

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Interpretable and pedagogical examples

Interpretable and pedagogical examples

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Learning a hierarchy

Learning a hierarchy

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Generalizing from simulation

Generalizing from simulation

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Asymmetric actor critic for image-based robot learning

Asymmetric actor critic for image-based robot lear...

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Sim-to-real transfer of robotic control with dynamics randomization

Sim-to-real transfer of robotic control with dynam...

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Domain randomization and generative models for robotic grasping

Domain randomization and generative models for rob...

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Competitive self-play

Competitive self-play

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Meta-learning for wrestling

Meta-learning for wrestling

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Nonlinear computation in deep linear networks

Nonlinear computation in deep linear networks

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Learning to model other minds

Learning to model other minds

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Learning with opponent-learning awareness

Learning with opponent-learning awareness

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OpenAI Baselines: ACKTR & A2C

OpenAI Baselines: ACKTR & A2C

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More on Dota 2

More on Dota 2

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Dota 2

Dota 2

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Gathering human feedback

Gathering human feedback

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Better exploration with parameter noise

Better exploration with parameter noise

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Proximal Policy Optimization

Proximal Policy Optimization

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Robust adversarial inputs

Robust adversarial inputs

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Hindsight Experience Replay

Hindsight Experience Replay

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