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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 superior performance on SMAC-V2.
Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems (AAMAS 2023)
Agent models implemented with Pyro
Python sample codes for robotics algorithms.
Vector Quantized VAEs - PyTorch Implementation
Multi-Agent Determinantal Q-Learning
This is the code for Q-value Path Decomposition for Deep Multiagent Reinforcement Learning (NeurIPS 2019).
This is a dynamic simulation for quadrotor UAV
Repositery for the paper "QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning"
(ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
The source code of "ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2022"
Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)
We are trying to combine reinforcement learning and trajectory optimization to win in F 1/10 racing.
a representation learning method that predicts the Fourier transform of state sequences to improve sample efficiency of RL algorithms.
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Code supporting my 2020 conference presentation "Reinforcement learning beyond the Bellman equation: Exploring critic objectives using evolution" with Madhavun Candadai and Eduardo J. Izquierdo.
Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523)
Code for State-Action Similarity-Based Representations for Off-Policy Evaluation (NeurIPS 2023).
Provide a unified sensor suite in Unity3d for ROS
The official code repository for "Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization".
The official source code for "S-Mixup: Structural Mixup for Graph Neural Networks", accepted at CIKM 2023 (Short Paper).
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
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.