Pinned Repositories
API-Network
We propose two novel permutation invariant and equivariant neural architectures which achieve 100% win rates on SMAC.
ATOC
an implementation of ATOC
CloseAirCombat
An environment based on JSBSIM aimed at one-to-one close air combat.
MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
MaCA
Multi-agent Combat Arena (UAV swarm vs UAV swarm)
mfrl_pytorch
multi-UAV
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
RL_paper
SJTUwbl's Repositories
SJTUwbl/MaCA
Multi-agent Combat Arena (UAV swarm vs UAV swarm)
SJTUwbl/multi-UAV
SJTUwbl/ATOC
an implementation of ATOC
SJTUwbl/mfrl_pytorch
SJTUwbl/API-Network
We propose two novel permutation invariant and equivariant neural architectures which achieve 100% win rates on SMAC.
SJTUwbl/CloseAirCombat
An environment based on JSBSIM aimed at one-to-one close air combat.
SJTUwbl/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
SJTUwbl/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
SJTUwbl/RL_paper
SJTUwbl/AI-Optimizer
The next generation deep reinforcement learning tookit
SJTUwbl/ATOC_COMA_PyTorch
SJTUwbl/epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
SJTUwbl/Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
SJTUwbl/G2ANET
Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
SJTUwbl/HARL
Official implementation of HARL algorithms based on PyTorch.
SJTUwbl/hierarchical-marl
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
SJTUwbl/Literature
SJTUwbl/MAgent2
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
SJTUwbl/mfrl
Mean Field Multi-Agent Reinforcement Learning
SJTUwbl/on-policy
SJTUwbl/pymarl
Python Multi-Agent Reinforcement Learning framework
SJTUwbl/rl_with_resets
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
SJTUwbl/rllab-finetuning
SJTUwbl/RODE
Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.
SJTUwbl/ROMA
Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
SJTUwbl/Safe-Reinforcement-Learning-Baselines
The repository is for safe reinforcement learning baselines.
SJTUwbl/scrimmage
Multi-Agent Robotics Simulator
SJTUwbl/SOG
Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".
SJTUwbl/warp-drive
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU
SJTUwbl/wqmix
Code for Weighted QMIX