spriteworld
Reinforcement learning env.
An environment designed to test and train reinforcement learning algorithms in a flexible, procedurally generated 2D space with various objects and interactions.
Spriteworld: a flexible, configurable python-based reinforcement learning environment
368 stars
23 watching
54 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
deepmindenvironmentgenerativeproceduralrlsprites
tigerneil/awesome-deep-rlRelated projects:
| Repository | Description | Stars |
|---|---|---|
| google-deepmind/android_env | A platform for defining reinforcement learning tasks on top of Android devices | 1,019 |
| google-deepmind/meltingpot | Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations | 620 |
 enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 265 |
 instadeepai/jumanji | Provides a suite of scalable reinforcement learning environments for research and development. | 622 |
 enggen/deepmind-advanced-deep-learning-and-reinforcement-learning | An advanced course on deep learning and reinforcement learning, covering foundational concepts and topics from introduction to machine learning based AI to policy gradients and actor critics. | 821 |
 feryal/craft-env | A 2D crafting environment for testing and training reinforcement learning agents | 44 |
 dusty-nv/jetson-reinforcement | Provides tools and libraries for training intelligent agents to perform complex tasks in robotics using deep reinforcement learning and GPU acceleration. | 884 |
 nadavbh12/retro-learning-environment | A framework for training AI algorithms using game consoles as input | 185 |
 giuse/dne | A set of neuroevolution experiments with deep networks using unsupervised learning and evolutionary reinforcement learning algorithms | 125 |
 stanfordvl/gibsonenv | Real-world perception simulator for embodied agents | 868 |
 hubfire/muti-branch-ddpg-carla | An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments. | 79 |
 vita-epfl/crowdnav | Develops robot navigation policies in crowded spaces using reinforcement learning and attention mechanisms. | 598 |
 learning-at-home/hivemind | A PyTorch library for decentralized deep learning across the Internet. | 2,051 |
 geek-ai/magent | A platform for multi-agent reinforcement learning research and development | 1,690 |
 gomerudo/nas-env | An OpenAI Gym environment for searching neural network architectures | 29 |