andyljones / megastepLinks
megastep helps you build 1-million FPS reinforcement learning environments on a single GPU
☆146Updated 3 years ago
Alternatives and similar repositories for megastep
Users that are interested in megastep are comparing it to the libraries listed below
Sorting:
- impact-driven-exploration☆133Updated 2 years ago
- ☆324Updated last year
- A grid-world game engine for game AI research☆253Updated last year
- Baselines for gymnax 🤖☆74Updated 2 years ago
- PAIRED in PyTorch 🔥☆64Updated 2 years ago
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- Modular framework for Reinforcement Learning in python☆181Updated 2 years ago
- Paired Open-Ended Trailblazer (POET) and Enhanced POET☆259Updated 3 years ago
- DeepMind Alchemy task environment: a meta-reinforcement learning benchmark☆205Updated 2 years ago
- ☆101Updated last year
- ☆125Updated 2 years ago
- Neuro-evolution for OpenAI Gym environments☆59Updated 4 years ago
- ☆84Updated 5 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- A 3D video game environment and benchmark designed from scratch for reinforcement learning research☆190Updated 2 years ago
- OpenAI Gym wrapper for ViZDoom enviroments☆70Updated 4 years ago
- A bare-bones Python library for quality diversity optimization.☆250Updated last month
- Real-World RL Benchmark Suite☆364Updated 5 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆321Updated 2 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆229Updated 2 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆138Updated last year
- A library that makes Evolutionary Strategies (ES) simple to use.☆180Updated 4 years ago
- A networking protocol for agent-environment communication☆107Updated 11 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Updated 6 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆54Updated 3 years ago
- Partially Observable Process Gym☆211Updated 7 months ago
- Accelerated minigrid environments with JAX☆154Updated 3 months ago
- Library to compare and evaluate reward functions☆67Updated 2 years ago