violaBook

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

mfrlExp1

Mean Field Multi-Agent Reinforcement Learning

movanRL

to follow movanRL resources to code DQN,DDQN,A2C,DDPG by myself.

Note

pensieve-5G

Pensieve for 5G datasets.

Pensieve-PPO

The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, and SAC

pensieve-py38

Pensieve on python 3.8 & tensorflow 2.7

pensieve-pytorch

Pensieve-SAC

Pensieve (SIGCOMM) with SAC for discrete action spaces.

UAV-DDPG-Fangvv

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

violaBook/UAV-DDPG-Fangvv

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

violaBook/maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

violaBook/mfrlExp1

Mean Field Multi-Agent Reinforcement Learning

violaBook/movanRL

to follow movanRL resources to code DQN,DDQN,A2C,DDPG by myself.

violaBook/Note

violaBook/pensieve-5G

Pensieve for 5G datasets.

violaBook/Pensieve-PPO

The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, and SAC

violaBook/pensieve-py38

Pensieve on python 3.8 & tensorflow 2.7

violaBook/pensieve-pytorch

violaBook/Pensieve-SAC

Pensieve (SIGCOMM) with SAC for discrete action spaces.

violaBook/pensieveExp

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

violaBook/PreferenceNet

PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning

violaBook/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

violaBook/stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

violaBook/STM32_twoEatOneChess

二打一棋

violaBook/UAV-RIS_EH_DDPGHaorangPeng