Farama-Foundation / Arcade-Learning-EnvironmentLinks
The Arcade Learning Environment (ALE) -- a platform for AI research.
☆2,333Updated 3 weeks ago
Alternatives and similar repositories for Arcade-Learning-Environment
Users that are interested in Arcade-Learning-Environment are comparing it to the libraries listed below
Sorting:
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,001Updated 2 years ago
- Reinforcement Learning environments based on the 1993 game Doom☆1,872Updated this week
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,450Updated 2 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,596Updated 5 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆610Updated 8 years ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,062Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,311Updated 2 weeks ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,349Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,019Updated 2 years ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆384Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,750Updated 2 years ago
- Retro Games in Gym☆3,526Updated last year
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,155Updated 2 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,215Updated this week
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,642Updated 3 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,314Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,310Updated 3 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,256Updated 6 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆774Updated last year
- A starter agent that can solve a number of universe environments.☆1,099Updated 7 years ago
- Implementation of TRPO and related algorithms☆638Updated 7 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,290Updated 5 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,195Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,298Updated this week
- PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.☆1,051Updated 3 years ago
- Assignments for CS294-112.☆1,614Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆909Updated 4 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,526Updated last year
- Minimal and Clean Reinforcement Learning Examples☆3,576Updated 2 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆820Updated 2 years ago