The M Tank

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

This website will hold our dynamic content e.g. search proximal words from embeddings and visualizing them

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Scripts for running examples for the reinforcement learning course

Environment wrapper to control Vector robot from Anki

Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.

Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem

Speed comparisons between many different euclidean and cosine metrics across many different libraries