☆335Dec 19, 2024Updated last year
Alternatives and similar repositories for MinAtar
Users that are interested in MinAtar are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- RL Environments in JAX 🌍☆937Updated this week
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆878Aug 12, 2024Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆30Dec 14, 2021Updated 4 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆246Nov 24, 2025Updated 11 months ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆781Mar 2, 2026Updated 7 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆468Updated this week
- ☆49Jul 22, 2026Updated 3 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,533Oct 15, 2026Updated 2 weeks ago
- A Python Toolkit for Managing a Large Number of Experiments☆32Feb 9, 2024Updated 2 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆259Nov 2, 2023Updated 2 years ago
- ⚡ Flashbax: Accelerated Replay Buffers in JAX☆282Aug 27, 2026Updated 2 months ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆283Jun 10, 2026Updated 4 months ago
- Benchmarking the Spectrum of Agent Capabilities☆605Jan 23, 2024Updated 2 years ago
- Really Fast End-to-End Jax RL Implementations☆1,119Sep 9, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆425Mar 18, 2026Updated 7 months ago
- ☆367Oct 12, 2022Updated 4 years ago
- A collection of Gymnasium compatible games for reinforcement learning.☆92Jun 19, 2025Updated last year
- 🕹️ A diverse suite of scalable reinforcement learning environments in JAX☆875Oct 16, 2026Updated 2 weeks ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆38Oct 14, 2020Updated 6 years ago
- C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.☆1,533Oct 21, 2026Updated last week
- Revisiting Rainbow☆76Jun 9, 2021Updated 5 years ago
- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️☆346Dec 16, 2025Updated 10 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆186Jun 23, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆102Jan 21, 2026Updated 9 months ago
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,200Mar 27, 2026Updated 7 months ago
- An Agent-Environment interface with Jax transformation compatibility☆12Nov 17, 2023Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆186Nov 20, 2025Updated 11 months ago
- ♟️ Vectorized RL game environments in JAX☆657Mar 6, 2025Updated last year
- ☆19Mar 1, 2023Updated 3 years ago
- Hadamax Encoding: Elevating Model-Free Performance in Atari☆11Jan 30, 2026Updated 9 months ago
- Accelerated minigrid environments with JAX☆184Sep 10, 2026Updated last month
- ☆1,360May 27, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆1,449Sep 9, 2026Updated last month
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆518Feb 12, 2025Updated last year
- Massively parallel rigidbody physics simulation on accelerator hardware.☆3,252Oct 20, 2026Updated last week
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,565Oct 5, 2026Updated 3 weeks ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆228May 19, 2024Updated 2 years ago
- Code and links for over 25,000 trained Atari agents☆100Aug 22, 2024Updated 2 years ago
- A collection of RL algorithms written in JAX.☆107Jul 5, 2022Updated 4 years ago