DeepMind Lab2D

11/13/2020

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We present DeepMind Lab2D, a scalable environment simulator for artificial intelligence research that facilitates researcher-led experimentation with environment design. DeepMind Lab2D was built with the specific needs of multi-agent deep reinforcement learning researchers in mind, but it may also be useful beyond that particular subfield.

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DeepMind Lab2D

Deep Reinforcement Learning for Multi-Agent Interaction

Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games

Unified Distributed Environment

Multi-Agent Interplay in a Competitive Survival Environment

SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning

Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow

Wield: Systematic Reinforcement Learning With Progressive Randomization

DeepMind Lab2D

Related Research

Deep Reinforcement Learning for Multi-Agent Interaction

Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games

Unified Distributed Environment

Multi-Agent Interplay in a Competitive Survival Environment

SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning

Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow

Wield: Systematic Reinforcement Learning With Progressive Randomization