Iteratively Learn Diverse Strategies with State Distance Information

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

implementation of MADDPG using PyTorch and multiagent-particle-envs

MLVU Project, SNU Spring 2024

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superi…

Iterative Refinement for Real-Time Multi-Robot Path Planning (IROS-21)

Official code for "Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation" (ICLR 2023 Spotlight)

The code for maddpg using pytorch

[RL] Deep Q Learning for Maze Environments

sample codes for distributed computing on python

Config files for my GitHub profile.

Official code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022 Oral)

Forked from mmistakes/minimal-mistakes/

Transformer: PyTorch Implementation of "Attention Is All You Need"

EARL: Environment for Autonomous Reinforcement Learning

PyTorch implementation for all models and environments in the paper "Learning to Ground Multi-Agent Communication with Autoencoders"

Sorting Google Scholar search results based on the number of citations

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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

pixhawk simulation and custom gcs