salesforce / ai-economist
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).
☆62Updated last year
Alternatives and similar repositories for ai-economist:
Users that are interested in ai-economist are comparing it to the libraries listed below
- Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)☆480Updated 8 months ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆470Updated 11 months ago
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆495Updated last month
- A PyTorch library for building deep reinforcement learning agents.☆653Updated last year
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,518Updated 11 months ago
- A suite of test scenarios for multi-agent reinforcement learning.☆669Updated last week
- An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.☆669Updated last year
- A Python sandbox for decision making in dynamics☆422Updated last year
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆806Updated 2 years ago
- hanabi_learning_environment is a research platform for Hanabi experiments.☆649Updated 2 years ago
- A customisable 2D platform for agent-based AI research☆426Updated last year
- Library for Model Based RL☆989Updated 8 months ago
- Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research☆720Updated 3 weeks ago
- A Python interface for reinforcement learning environments☆362Updated 2 years ago
- A simple OpenAI Gym environment for single and multi-agent reinforcement learning☆748Updated last year
- MuZero☆2,608Updated 6 months ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆369Updated 4 years ago
- ☆1,303Updated 2 months ago
- A library of reinforcement learning components and agents☆3,623Updated 2 months ago
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,063Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,164Updated 2 years ago
- Find best-response to a fixed policy in multi-agent RL☆283Updated 3 years ago
- A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers☆468Updated 6 months ago
- DeepMind Alchemy task environment: a meta-reinforcement learning benchmark☆199Updated last year
- RAD: Reinforcement Learning with Augmented Data☆409Updated 4 years ago
- a Lightweight library for sequential learning agents, including reinforcement learning☆429Updated 2 years ago
- Pytorch Implementation of MuZero☆350Updated last year
- RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.☆282Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆630Updated 4 years ago
- A PyTorch Platform for Distributed RL☆746Updated 3 years ago