NeuralMMO / environment
Neural MMO - A Massively Multiagent Environment for Artificial Intelligence Research
☆531Updated 8 months ago
Alternatives and similar repositories for environment:
Users that are interested in environment are comparing it to the libraries listed below
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆729Updated 3 months ago
- A suite of test scenarios for multi-agent reinforcement learning.☆694Updated this week
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆493Updated 2 months ago
- A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers☆474Updated 2 weeks ago
- Repo for reproduction of sequential social dilemmas☆400Updated 2 months ago
- A grid-world game engine for game AI research☆240Updated last year
- Benchmarking the Spectrum of Agent Capabilities☆435Updated last year
- Tools for accelerating safe exploration research.☆532Updated 2 years ago
- 3D Client for https://github.com/neuralmmo/environment☆219Updated last year
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆249Updated 10 months ago
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,073Updated last year
- A Python interface for reinforcement learning environments☆364Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆472Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆566Updated 2 years ago
- Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"☆1,610Updated last year
- High throughput synchronous and asynchronous reinforcement learning☆893Updated last week
- ☆299Updated 4 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆684Updated 11 months ago
- A collection of multi agent environments based on OpenAI gym.☆597Updated 9 months ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆280Updated 2 months ago
- Dream to Control: Learning Behaviors by Latent Imagination☆641Updated 4 years ago
- Sokoban environment for OpenAI Gym☆359Updated last year
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆848Updated 3 years ago
- A customisable 2D platform for agent-based AI research☆427Updated last year
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆792Updated this week
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆191Updated 2 years ago
- A PyTorch Platform for Distributed RL☆747Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆536Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,230Updated 3 months ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,197Updated last year