Retro-Learning-Environment
Game console simulator
A framework for training AI algorithms using game consoles as input
The Retro Learning Environment (RLE) -- a learning framework for AI
185 stars
21 watching
40 forks
Language: C++
last commit: over 6 years ago
Linked from 1 awesome list
dqngame-enginemachinemachine-learningreinforcement-learning
aikorea/awesome-rlRelated projects:
| Repository | Description | Stars |
|---|---|---|
 tatsu-lab/alpaca_farm | A framework for simulating and evaluating reinforcement learning from human feedback methods | 782 |
 google-deepmind/spriteworld | An environment designed to test and train reinforcement learning algorithms in a flexible, procedurally generated 2D space with various objects and interactions. | 368 |
 kaixhin/atari | A deep reinforcement learning framework for Atari games using persistent advantage learning and dueling double DQN architecture. | 264 |
 microsoft/textworld | An environment for training reinforcement learning agents on text-based games | 1,221 |
 gokulnc/setting-up-carla-reinforcement-learning | Provides a framework for using CARLA as a reinforcement learning environment | 95 |
 enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 265 |
 sail-sg/envpool | A high-performance parallel environment execution engine for reinforcement learning environments | 1,094 |
 tnishinaga/rpi_micon_c85book | A Raspberry Pi program that demonstrates bare-metal programming and game development using C. | 46 |
| kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,585 |
 ua-rcl/ranc | An open-source software platform for simulating and experimenting with neuromorphic architectures. | 40 |
 floringogianu/categorical-dqn | An implementation of reinforcement learning algorithm using PyTorch and designed to work with Atari games. | 96 |
 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 |
 nathanepstein/pavlov.js | Reinforcement learning using Markov Decision Processes in C++ compiled to JavaScript | 500 |
 erfg12/memory.dll | A C# library for creating game trainers that manipulate process memory and inject custom DLLs. | 884 |
 securitygames/oef | Provides tools and algorithms for developing reinforcement learning policies in game environments. | 3 |