Farama-Foundation / MO-GymnasiumLinks
Multi-objective Gymnasium environments for reinforcement learning
☆333Updated 2 weeks ago
Alternatives and similar repositories for MO-Gymnasium
Users that are interested in MO-Gymnasium are comparing it to the libraries listed below
Sorting:
- Multi-Objective Reinforcement Learning algorithms implementations.☆403Updated last week
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 10 months ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆431Updated 3 weeks ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆174Updated 2 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆608Updated 9 months ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆298Updated 4 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆114Updated last year
- ☆254Updated last year
- ☆234Updated 7 months ago
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆445Updated last month
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆408Updated last month
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆358Updated 2 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆348Updated last year
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- PyTorch implementation of SAC-Discrete.☆307Updated 11 months ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆323Updated 10 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Partially Observable Process Gym☆193Updated last month
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆163Updated last year
- Multi-Agent Reinforcement Learning with JAX☆605Updated last week
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆362Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆435Updated 2 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆149Updated last year
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆815Updated last week
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆693Updated 2 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆183Updated last year
- A collection of pre-trained RL agents using Stable Baselines3☆130Updated 8 months ago
- A collection of multi agent environments based on OpenAI gym.☆606Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆193Updated 2 years ago