ntasfi / PyGame-Learning-EnvironmentLinks
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
☆1,051Updated 3 years ago
Alternatives and similar repositories for PyGame-Learning-Environment
Users that are interested in PyGame-Learning-Environment are comparing it to the libraries listed below
Sorting:
- Gym - 32 levels of original Super Mario Bros☆289Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,452Updated 2 years ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,334Updated last week
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆662Updated 6 years ago
- 2D Game Physics for Python☆501Updated 9 months ago
- Simple deep Q-learning agent.☆700Updated 6 years ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆384Updated 2 years ago
- Playing Mario with Deep Reinforcement Learning☆696Updated 9 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆774Updated last year
- Using Keras and Deep Q-Network to Play FlappyBird☆448Updated 6 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,307Updated 4 years ago
- Reinforcement Learning environments based on the 1993 game Doom☆1,875Updated last week
- Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.☆560Updated 4 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆822Updated 4 years ago
- A Python toolkit used to train reinforcement learning algorithms against arcade games☆654Updated 5 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆969Updated 6 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆821Updated 2 years ago
- A starter agent that can solve a number of universe environments.☆1,098Updated 7 years ago
- Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog☆622Updated 2 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,007Updated 2 years ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆796Updated 2 years ago
- Theano-based implementation of Deep Q-learning☆1,091Updated 8 years ago
- ☆302Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,111Updated 7 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆395Updated 7 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,197Updated 4 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,155Updated 2 years ago
- Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)☆406Updated 8 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆616Updated 2 years ago
- Arnold - DOOM Agent☆530Updated 3 years ago