fudifudi Goto Github PK

ai2thor

An open-source platform for Visual AI.

baby-steps-of-rl-ja

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

cups-rl

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"

dqn

DQN implementation in Keras + TensorFlow + OpenAI Gym

evert

Accelerated beam tracing algorithm adapted from the original source code by Samuli Laine.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hangma

hellogit

初めてのGitHub

home-platform

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

multiworld

Multitask Environments for RL

okanoshita

python_exercises

short exercises for Python

reinforcement_learning

reward-learning-rl

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering