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Top 962 reinforcement-learning open source projects

Handful Of Trials Pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Navbot
Using RGB Image as Visual Input for Mapless Robot Navigation
Pairstrade Fyp 2019
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
Mojitalk
Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
Lang Emerge Parlai
Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI
Easy Rl
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Aws Robomaker Sample Application Deepracer
Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
Direct Future Prediction Keras
Direct Future Prediction (DFP ) in Keras
Reimprovejs
A framework using TensorFlow.js for Deep Reinforcement Learning
Gym Ignition
Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo
Samsung Drl Code
Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
Chemgan Challenge
Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Rlai Exercises
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
Ngsim env
Learning human driver models from NGSIM data with imitation learning.
Gym Electric Motor
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
Starcraft Ai
Reinforcement Learning and Transfer Learning based StarCraft Micromanagement
Awesome Deep Reinforcement Learning
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
Rlenvs
Reinforcement learning environments for Torch7
Cs234 Reinforcement Learning Winter 2019
My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019
Rl Movie Recommender
The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.
Ppo
Proximal Policy Optimization implementation with TensorFlow
Magent
A Platform for Many-agent Reinforcement Learning
Cs234
My Solution to Assignments of CS234
Grid2op
Grid2Op a testbed platform to model sequential decision making in power systems.
Tnt
Simple tools for logging and visualizing, loading and training
Categorical Dqn
A working implementation of the Categorical DQN (Distributional RL).
Torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Mapleai
AI各领域学习资料整理。(A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.)
Hand dapg
Repository to accompany RSS 2018 paper on dexterous hand manipulation
Magnet
MAGNet: Multi-agents control using Graph Neural Networks
Stable Baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Reinforcement Learning For Self Driving Cars
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.
Sc2aibot
Implementing reinforcement-learning algorithms for pysc2 -environment
Kgpolicy
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
Lf2gym
An OpenAI-gym-like environment for Little Fighter 2
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