Check out the new game server:
翻译 - 签出新的游戏服务器:
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
翻译 - 用于通用 RL 环境的基于 C++ 的高性能并行环境执行引擎。
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcemen...
翻译 - Foundation是一个灵活,模块化且可组合的框架,用于与代理商和政府一起对社会经济行为和动态进行建模。该框架可与AI学习者(https://www.einstein.ai/the-ai-economist)所做的强化学习一起使用,以学习最佳的经济政策。
#自然语言处理#BabyAI platform. A testbed for training agents to understand and execute language commands.
High Fidelity Simulator for Reinforcement Learning and Robotics Research.
ns3-gym - The Playground for Reinforcement Learning in Networking Research
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
翻译 - 宜家家具组装环境,适合长距离复杂的操作任务
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
A simple, easy, customizable Gymnasium environment for trading.
Grid2Op a testbed platform to model sequential decision making in power systems.
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
翻译 - 火箭联盟的AI研究克隆
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
#计算机科学#Deep Reinforcement Learning in C#
#计算机科学#Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)
An OpenAi Gym environment for the Job Shop Scheduling problem.
A gym environment for a miniature racecar using the pybullet physics engine.
#计算机科学#Robotic simulation in Unity with ROS integration.
#Awesome#This repo contains a curative list of robot learning (mainly for manipulation) resources.
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)