hejichao2020 Goto Github PK
Name: Jichao He
Type: User
Company: Southeast University
Location: Nanjing , China
Name: Jichao He
Type: User
Company: Southeast University
Location: Nanjing , China
Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"
Mean Field Multi-Agent Reinforcement Learning
Deep Reinforcement Learning for Multiplayer Online Battle Arena
Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG and NCC-MARL.
Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
Code for multi-agent deep reinforcement learning for networked system control.
notes
Codes for "NSGZero: Efficiently Learning Non-Exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search"
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
This is the official implementation of Multi-Agent PPO (MAPPO).
Command-line tool to inspect the difference between (the text in) two PDF files
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Code for partially observable MFRL paper accepted in AAMAS-2021
Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", published at ICML 2020
ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)
资料分享
Code-base for solving Sequential Social Dilemma Game using Multi-Agent RL, motivation and communication
Scalable Multi-Agent RL Training School for Autonomous Driving
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
Repo for reproduction of sequential social dilemmas
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.