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awr

Implementation of advantage-weighted regression.

bjtu-thesis-templete

北京交通大学研究生毕业论文非官方模版

bjtuthesistemplete

北京交通大学毕业论文Latex模板

boardgame2

Extension of OpenAI Gym that implements multiple two-player zero-sum 2-dimension board games

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

datareceiver

dataretriver

drl-energy-management

Deep reinforcement learning based energy management strategy for hybrid electric vehicle

gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

lyapunov-orientated-imphetero-reinforcement-learning

Towards Heterogeneous Environment: Lyapunov-orientated ImpHetero Reinforcement Learning for Task Offloading

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

multi-independent-agent-reinforcement-learning-uav-autonomous-spectrum-qlearning

An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

pgfmanual-zh

PGF/TikZ 中文手册

pureedgesim

PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.

pysimgrid

Python framework for scheduling research based on SimGrid project

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-ddpg-naf

Implementation of algorithms for continuous control (DDPG and NAF).

rebel

An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.

reinforcement-learning-with-disturbance

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

silleo-scns

Simulator for Large LEO Satellite Communication Networks

tianshou

An elegant PyTorch deep reinforcement learning library.

tiny-training

On-Device Training Under 256KB Memory [NeurIPS'22]

v2v-osm

Simulate Vehicle-to-vehicle (V2V) communication on street networks obtained from OpenStreetMap (OSM)