Making algorithms that learn to solve real world problems with reinforcement learning
AMP_for_hardware. Code for "Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions"
824gauss_gym. Python
361Numpy-CNN. A numpy-only implementation of a Convolutional Neural Network, from the ground up.
231viper_rl. Using advances in generative modeling to learn reward functions from unlabeled videos.
143score_matching_rl. Code for the paper "Learning a Diffusion Model Policy from Rewards via Q-Score Matching"
34DDP_Examples. Using Differential Dynamic Programming (DDP) to control various dynamical systems.
22BabyFace. Baby monitoring device that uses MIT's "Eulerian Video Magnification" to detect heart beat based on facial colour changes.
15skip_rnn. A simple skip-rnn model created with NumPy.
5MPO-JAX. Maximum A Posteriori Policy Optimization
5Ale. repo for my github pages website
1TradingGym. Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
1escontra.
1motion-diffusion-model. The official PyTorch implementation of the paper "Human Motion Diffusion Model"
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