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CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
Learning Reward Functions using Expert Demonstrations for Crane Automation
DRL university course lecture notes & exercises
Code for Sequential Evaluation of Offline RL paper
Implementation of Locally Constrained Representations
Codebase for Prioritizing samples in Reinforcement Learning with Reducible Loss
TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"
A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)
Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data
A repository for several different LSTM models, starting from char2char LSTM