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A toolkit for developing and comparing reinforcement learning algorithms.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Model parallel transformers in JAX and Haiku
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Causal Effect Inference with Deep Latent-Variable Models
Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm
CFRBM is a implementation of the RBM model to the collaborative filtering task
Using a quantum computer to cluster data points
University Project, Reinforcement Learning with DQN on a modified cartpole scenario.
Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.