MIT License
This is the code for the paper Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets by Alethea Power, Yuri Burda, Harri Edwards, Igor Babuschkin, and Vedant Misra
pip install -e . ./scripts/train.py
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
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Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
Code for the paper "Meta-Learning Shared Hierarchies"
Code for the paper "Improved Techniques for Training GANs"
Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"
Code for the paper "Evolved Policy Gradients"
Code for the paper "Improving GANs Using Optimal Transport"
Code for the paper "Exploration by Random Network Distillation"
Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
Code for the paper "Language Models are Unsupervised Multitask Learners"
Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Re...
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Code for the paper "Generative Adversarial Imitation Learning"
Examples and guides for using the OpenAI API