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abr-dqn

Generating ABR method via DQN

adhoc_routing

Reinforcement Learning based routing protocol implementation for wireless ad hoc networks.

algorithm-learning

alpf

Active Learning with Partial Feedback

aqm-plus

PyTorch code for Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation (AQM+)

baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

bbr

BBR' - An Implementation of Bottleneck Bandwidth and Round-trip Time Congestion Control for ns-3

caas-project

caas-project.github.io

carel

CAREL is open-source callback-based framework for promoting the flexible evaluation of different deep RL configurations under a traffic simulation environment.

ccp-kernel

A Linux Kernel module implementing support for CCP congestion control algorithms

ccp_kernel_fixbug

cgmon

cgmon uses netlink with the inet_diag protocol to sample congestion related statistics from the Linux kernel

channel_env

comparing-tcp-algorithms

Simulating TCP congestion control algorithms with ns-3 and visualizing the result with matplotlib.

deepfmpo

Code accompanying the paper "Deep reinforcement learning for multiparameter optimization in de novo drug design"

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dl-algo-trader

Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning

document

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dqfd

An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning

dqfd_for_multi-expertrl

A modified implementation of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations where we try to learn from multiple experts in order to improve beyond the experts.

edxclassify

A machine learning pipeline for classifying MOOC discussion forums.

episodic-backward-update

Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.

erl_paper_nips18

Code accompanying the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" accepted at NIPS 2018

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

genericcc

An interface to program any congestion control protocol for an unreliable connection based protocol sent over UDP. It comes with a clean TrafficGenerator interface that can generate traffic for each of these various protocols. Also supports other congestion control protocols

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hko-7

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

implementation-of-tcp-lola-in-ns-3

TCP LoLa: Congestion Control for Low Latencies and High Throughput

indigo

Empirically learned congestion control by imitation learning with RNNs