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aamas_19

Source code for the paper "Online Abstraction with MDP Homomorphisms for Deep Learning".

action_attention_iclr_22

Source code for "Binding Actions to Objects in World Models. Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong and Thomas Kipf. ICLR 2022 workshop on Objects, Structure and Causality."

action_priors

Source code for Action Priors for Large Action Spaces in Robotics. Biza, Wang, Platt, van de Meent, Wong. AAMAS'21.

baby-a3c

A high-performance Atari A3C agent in 180 lines of PyTorch

bandits

Comparison of bandit algorithms from the Reinforcement Learning bible.

bi-att-flow

Bidirectional Attention Flow

bisim_metric

bmg

Bayesian mixture of Gaussians

bottleneck

Information bottleneck method.

c-swm

Contrastive Learning of Structured World Models

caffe-tensorflow

Caffe models in TensorFlow

cem

deep_learning_course

Deep Learning course at the Czech Technical University in Prague.

discrete_abstractions

Source code for Learning Discrete State Abstractions With Deep Variational Inference. Biza, Platt, van de Meent, Wong. AABI'21. https://arxiv.org/abs/2003.04300

drl_gym

Deep Reinforcement Learning gym.

feudal-rl

fewshot

flownet2-tf

generic_text_deictic

geom_cloning_corl_23

google-research

Google Research

helping_hands_website

hmm

Hidden Markov Models.

invariant_slot_attention.github.io

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

machine_intelligence_course

Tensorflow tutorials.

mcmc

Markov Chain Monte Carlo methods.

mdp_abstraction

Algorithms for minimization of Markov Decision Processes.

model_transfer

Replication of Transfer with Model Features in Reinforcement Learning -- Lehnert et al., 2018.

negative-sampling-icml-21

Original source code for "The Impact of Negative Sampling on Contrastive Structured World Models. O Biza, E van der Pol, T Kipf. ICML'21 SSL workshop."