gym-super-mario-bros
Super-mario-bros-PPO-pytorch
| gym-super-mario-bros | Super-mario-bros-PPO-pytorch | |
|---|---|---|
| 3 | 1 | |
| 663 | 970 | |
| - | - | |
| 0.0 | 0.0 | |
| 10 months ago | almost 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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gym-super-mario-bros
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Is there a single-task, multi-scene environment using continuous action spaces like gym-super-mario-bros？
Is there a single-task, multi-scene environment using continuous action spaces? Single-task and multi-scene envs are similar to gym-super-mario-bros and CoinRun in procgen .But they are all discrete action spaces. Thank you!!!!!
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Reinforcement learning in Super mario bros
Next we wrapper nes_py.wrappers.JoypadSpace with environmental and actions
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SNES A.I. Using NEAT
A quick guess shows there is an official Mario environment, so I’ll focus on that instead. Links: https://pypi.org/project/gym-super-mario-bros/ https://github.com/Kautenja/gym-super-mario-bros
Super-mario-bros-PPO-pytorch
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[AI application] AI agent plays Contra
if you are interested in Super mario bros, here you are https://github.com/uvipen/Super-mario-bros-PPO-pytorch
What are some alternatives?
nes-py - A Python3 NES emulator and OpenAI Gym interface
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
muzero-general - MuZero
super-mario-neat - This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
gym-super-mario - Gym - 32 levels of original Super Mario Bros
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
gym - A toolkit for developing and comparing reinforcement learning algorithms.
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.