AI and efficiency
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Noticias de IA
21010 elementos — filtrados, clasificados y sin duplicados
Scaling laws for neural language models
Dota 2 with large scale deep reinforcement learning
Deep double descent
Benchmarking safe exploration in deep reinforcement learning
Solving Rubik’s Cube with a robot hand
Fine-tuning GPT-2 from human preferences
Emergent tool use from multi-agent interaction
Transfer of adversarial robustness between perturbation types
Generative modeling with sparse transformers
OpenAI Five defeats Dota 2 world champions
Implicit generation and generalization methods for energy-based models
Introducing Activation Atlases
Neural MMO: A massively multiagent game environment
AI safety needs social scientists
Better language models and their implications
Computational limitations in robust classification and win-win results
OpenAI Fellows Summer 2018: Final projects
How AI training scales
Quantifying generalization in reinforcement learning
Spinning Up in Deep RL
Learning concepts with energy functions
Plan online, learn offline: Efficient learning and exploration via model-based control
Reinforcement learning with prediction-based rewards
Learning complex goals with iterated amplification
FFJORD: Free-form continuous dynamics for scalable reversible generative models
The International 2018: Results
Large-scale study of curiosity-driven learning
OpenAI Five Benchmark: Results
Learning dexterity