A non-saturating, open-ended environment for evaluating LLMs in Factorio

A research prototype of a human-centered web agent

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

PyTorch implementations of deep reinforcement learning algorithms and environments

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect" in pytorch

Reinforcement learning environments with musculoskeletal models

Some hard problems for reinforcement learning.

PyTorch implementation of FIM and empirical FIM

A clean and readable Pytorch implementation of CycleGAN

Pytorch implementation of Virtual Adversarial Training

Programming Humanoid Robot In Python