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Room Clearance with Feudal Hierarchical Reinforcement Learning
A new simulation environment designed as a simple testbed for demonstrating the utility of RL as a tool for concept analysis with military applications as well as to aid with... -
Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
The dataset used in the paper is a hierarchical structure of propositions, where a higher-level proposition is a temporal abstraction of lower-level propositions. Each... -
StarCraft II unit micromanagement benchmark
The dataset used in the paper is a multi-agent reinforcement learning dataset, where agents learn to coordinate their actions to achieve a common goal. -
Offline Fictitious Self-Play for Competitive Games
Offline Fictitious Self-Play for Competitive Games -
Simultaneous Move Games via Equilibrium Approximation
The dataset used in the paper is a stochastic game, specifically a simultaneous-move game, with multiple agents and a finite horizon. -
Multi-Agent Reinforcement Learning
The dataset used in the paper is a collection of 21 diverse multi-agent tasks in four environments: level-based foraging, boulder-push, multi-robot warehouse, and multi-agent... -
Multi-Agent Particle Environment (MAPE)
Multi-Agent Particle Environment (MAPE) game environment -
Hierarchical RNNs-Based Transformers MADDPG
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments -
Complex Topology
Packet routing environments for cooperative multi-agent reinforcement learning -
Moderate Topology
Packet routing environments for cooperative multi-agent reinforcement learning -
Simple Topology
Packet routing environments for cooperative multi-agent reinforcement learning -
Packet Routing Domain
Packet routing environments for cooperative multi-agent reinforcement learning -
Half Field Offense
The Half Field Offense environment is a multi-agent reinforcement learning problem where multiple agents interact in a soccer-like environment. -
Multi-Team Predator-Prey
The Multi-Team Predator-Prey environment is a multi-agent reinforcement learning problem where multiple predators and prey interact in a grid-based environment. -
StarCraft II micromanagement tasks
The dataset used in the paper is the StarCraft II micromanagement tasks.
