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Name: shenjie
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Name: shenjie
Type: User
Deep Reinforcement Learning in Pac-man
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
Prioritized Experience Replay (PER) implementation in PyTorch
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
PFRL: a PyTorch-based deep reinforcement learning library
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Unmodified Postgres with some useful plugins
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
A clean and robust Pytorch implementation of PPO on Discrete action space
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
Managed Frappe Hosting
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)
Prowler is an Open Source Security tool for AWS, Azure, GCP and Kubernetes to do security assessments, audits, incident response, compliance, continuous monitoring, hardening and forensics readiness. Includes CIS, NIST 800, NIST CSF, CISA, FedRAMP, PCI-DSS, GDPR, HIPAA, FFIEC, SOC2, GXP, Well-Architected Security, ENS and more
Python Multi-Agent Reinforcement Learning framework
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Tutorials for building a PySC2 bot
A well-documented A2C written in PyTorch
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 implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Simple A3C implementation with pytorch + multiprocessing
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Deep Q-Learning Network in pytorch (not actively maintained)
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Hierarchical-DQN in pytorch (not actively maintained)
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Neural Style and MSG-Net
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
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.