Multi-agent collaboration (2 UR10s) in Omniverse Isaac Gym/Sim.
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Updated
Jun 7, 2024 - Python
Multi-agent collaboration (2 UR10s) in Omniverse Isaac Gym/Sim.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
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Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.
A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.
[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.
PettingZoo ConnectFour and TicTacToe examples, configured with Rye as dependency manager
Intelligent Social Systems and Swarm Robotics Lab (IS3R)
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
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