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shenjie's Projects

pantheonrl icon pantheonrl

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

per icon per

Prioritized Experience Replay (PER) implementation in PyTorch

pettingzoo icon pettingzoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

pfrl icon pfrl

PFRL: a PyTorch-based deep reinforcement learning library

pg-is-all-you-need icon pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

pg_travel icon pg_travel

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

popular-rl-algorithms icon popular-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

postgres icon postgres

Unmodified Postgres with some useful plugins

powerinfer icon powerinfer

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

ppo-pytorch icon ppo-pytorch

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

primal icon primal

PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)

prowler icon prowler

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

pymarl icon pymarl

Python Multi-Agent Reinforcement Learning framework

pymarl2 icon pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

pytorch-a2c-ppo-acktr-gail icon 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-a3c icon pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-a3cs icon pytorch-a3cs

Simple A3C implementation with pytorch + multiprocessing

pytorch-actorcriticrl icon pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

pytorch-ddpg icon pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

pytorch-dqn icon pytorch-dqn

Deep Q-Learning Network in pytorch (not actively maintained)

pytorch-drl icon pytorch-drl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

pytorch-maddpg icon pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

pytorch-rl icon pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

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