salesforce / ai-economistLinks
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 reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
☆94Updated 2 years ago
Alternatives and similar repositories for ai-economist
Users that are interested in ai-economist are comparing it to the libraries listed below
Sorting:
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,530Updated last year
- A suite of test scenarios for multi-agent reinforcement learning.☆779Updated last week
- A library of reinforcement learning components and agents☆3,900Updated this week
- A customisable 2D platform for agent-based AI research☆436Updated 2 years ago
- A Python sandbox for decision making in dynamics☆424Updated 2 years ago
- A simple OpenAI Gym environment for single and multi-agent reinforcement learning☆772Updated 2 years ago
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,132Updated 2 years ago
- A PyTorch library for building deep reinforcement learning agents.☆653Updated last year
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆507Updated 11 months ago
- Repo for reproduction of sequential social dilemmas☆409Updated 10 months ago
- The NetHack Learning Environment☆974Updated last year
- A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibilit…☆413Updated 3 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆838Updated 3 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,275Updated last month
- An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.☆689Updated last year
- hanabi_learning_environment is a research platform for Hanabi experiments.☆662Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆700Updated 5 years ago
- Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)☆499Updated 8 months ago
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research☆761Updated this week
- Neural MMO - A Massively Multiagent Environment for Artificial Intelligence Research☆559Updated last year
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆491Updated last year
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.☆2,984Updated this week
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆865Updated last year
- ☆1,398Updated last month
- Game Theory Cheat Sheet☆378Updated 2 years ago
- DeepMind Alchemy task environment: a meta-reinforcement learning benchmark☆203Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,195Updated 3 years ago
- List of competitions related to Reinforcement Learning☆350Updated 2 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆579Updated 3 years ago
- The RL discord wiki☆258Updated 5 years ago