instadeepai / Mava
đĻ A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
â769Updated this week
Alternatives and similar repositories for Mava:
Users that are interested in Mava are comparing it to the libraries listed below
- đšī¸ A diverse suite of scalable reinforcement learning environments in JAXâ685Updated last week
- An extension of the PyMARL codebase that includes additional algorithms and environment supportâ558Updated 4 months ago
- A collection of multi agent environments based on OpenAI gym.â587Updated 7 months ago
- Multi-objective Gymnasium environments for reinforcement learningâ304Updated 2 weeks ago
- Multi-Agent Reinforcement Learning with JAXâ499Updated this week
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.â654Updated 2 years ago
- A collection of MARL benchmarks based on TorchRLâ341Updated this week
- A suite of test scenarios for multi-agent reinforcement learning.â648Updated this week
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environmentsâ263Updated 3 weeks ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.â691Updated 2 years ago
- Accelerated Quality-Diversityâ275Updated this week
- Library for Model Based RLâ983Updated 7 months ago
- Really Fast End-to-End Jax RL Implementationsâ808Updated 5 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019â713Updated 2 years ago
- A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappersâ462Updated 5 months ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (âĻâ465Updated 10 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of codeâ668Updated 9 months ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...â406Updated 3 years ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of âĻâ388Updated this week
- RL Environments in JAX đâ696Updated 7 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).â680Updated last year
- Mean Field Multi-Agent Reinforcement Learningâ386Updated 4 years ago
- A PyTorch library for building deep reinforcement learning agents.â651Updated 10 months ago
- SMAC: The StarCraft Multi-Agent Challengeâ1,149Updated 11 months ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) codeâ545Updated this week
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"â482Updated 2 years ago
- PyTorch implementation of SAC-Discrete.â296Updated 6 months ago
- multi-agent deep reinforcement learning for networked system control.â402Updated 4 years ago
- A parallel framework for population-based multi-agent reinforcement learning.â515Updated last year
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilitiesâ342Updated 2 weeks ago