☆32Apr 25, 2021Updated 5 years ago
Alternatives and similar repositories for adversarial_comms
Users that are interested in adversarial_comms are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralize…☆44Sep 24, 2023Updated 3 years ago
- Implementation of the G2RL approach in the POGEMA environment☆15Jun 5, 2024Updated 2 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆34Mar 16, 2020Updated 6 years ago
- Emergence of complex strategies through multiagent competition☆54Dec 8, 2022Updated 3 years ago
- ☆11Mar 10, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Jul 23, 2021Updated 5 years ago
- Official repository for "Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning".☆13Jan 25, 2023Updated 3 years ago
- ☆12Jan 3, 2020Updated 6 years ago
- PyTorch implementation of CommNet☆37Dec 2, 2017Updated 8 years ago
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings☆14Nov 22, 2022Updated 3 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Mar 6, 2025Updated last year
- ☆10Mar 2, 2021Updated 5 years ago
- This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…☆18May 20, 2020Updated 6 years ago
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Jul 7, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Feb 23, 2023Updated 3 years ago
- Reward Propagation using Graph Convolutional Networks☆13Jun 19, 2021Updated 5 years ago
- Resilient Multi-Agent Reinforcement Learning☆10Nov 4, 2022Updated 3 years ago
- ☆12Jan 30, 2021Updated 5 years ago
- ☆12Feb 10, 2018Updated 8 years ago
- Repository containing the codes that were used in the paper "Multi-agent Ergodic Coverage with Obstacle Avoidance"☆14May 18, 2018Updated 8 years ago
- Repo for reproduction of sequential social dilemmas☆416Mar 6, 2025Updated last year
- Example of distributed learning in Julia☆21Jun 28, 2017Updated 9 years ago
- PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)☆446Apr 9, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- multi-agent deep reinforcement learning for networked system control.☆450Sep 29, 2020Updated 6 years ago
- This repository documents the project implementation of decentralized, adaptive coverage control algorithm for networked robots for my Mu…☆14May 12, 2021Updated 5 years ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆43Oct 5, 2022Updated 4 years ago
- ☆15Sep 22, 2023Updated 3 years ago
- ☆17Oct 12, 2023Updated 3 years ago
- ☆34Dec 8, 2022Updated 3 years ago
- Posted at AAAI 2023☆11Sep 4, 2025Updated last year
- ☆12Apr 17, 2023Updated 3 years ago
- Co-evolution of agents and environments in GVG-AI☆17Aug 12, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- MATE: the Multi-Agent Tracking Environment.☆54Mar 31, 2023Updated 3 years ago
- Vectorization techniques for fast population-based training.☆58Apr 26, 2026Updated 5 months ago
- This repo is for our EMNLP2023 short paper (Findings): InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Langua…☆14Jan 11, 2024Updated 2 years ago
- Python API for Science Parse☆13Mar 27, 2021Updated 5 years ago
- Graph Attention-Guided Search for Dense Multi-Agent Pathfinding (AAAI-26)☆44Feb 13, 2026Updated 8 months ago
- ☆50Jul 23, 2021Updated 5 years ago
- ☆13Aug 15, 2020Updated 6 years ago