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A concurrent/synchronized DQN implementation optimized for multi-CPU, single-GPU systems.
Stratified Experience Replay. Correcting Multiplicity Bias in Off-Policy Deep Reinforcement Learning. AAMAS 2021.
An elegant PyTorch deep reinforcement learning library.
Massively Parallel Deep Reinforcement Learning. 🔥
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess …
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
abaisero / beamerthemeNU
Forked from martinhelso/UiBBeamer theme for Northeastern University
netease cloud music terminal client by rust ⚡
A wiki containing information about NEU's Discovery Cluster.
Paper list of multi-agent reinforcement learning (MARL)
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.
Ring buffer that allows for high-throughput data transfer between multiproccessing Python processes.
My personal website, written with python/Flask
Web-based Reinforcement Learning Control Center
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
odeke-em / drive
Forked from rakyll/driveGoogle Drive client for the commandline
Jupyter notebook extension that enables highlighting every instance of the current word in the notebook