gym-super-mario-bros
nes-py
gym-super-mario-bros | nes-py | |
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3 | 3 | |
663 | 226 | |
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0.0 | 0.0 | |
10 months ago | 6 months ago | |
Python | C++ | |
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
nes-py
- Snes, Nes, GameBoy and A26 emulator.
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NES Tetris AI hits 102M poins and level 237
I love to see all the Nintendo preservation, enhancement and AI research ;)
What's the best way to programmatically interface with an NES ROM in 2022? JSNES, from which you could run tensorflow.js, seems perfect for browsers. But NES-py integrates with Open AI Gym env
https://github.com/Kautenja/nes-py/wiki/Creating-Environment...
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SNES A.I. Using NEAT
Looking at step() in nes_env.py shows that state is obtained through an inherited method in NesEnv. That object itself comes from another repo. https://github.com/Kautenja/nes-py
What are some alternatives?
Minigrid - Simple and easily configurable grid world environments for reinforcement learning
StackRabbit - An AI for playing NES Tetris at a high level. Based primarily on search & heuristic, with high quality board evaluation through value iteration.
super-mario-neat - This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
gym-super-mario - Gym - 32 levels of original Super Mario Bros
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
nesdev - NesDev is a modular cycle-accurate NES emulator development toolkit for C++.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
nestopia - Cross-platform Nestopia emulator core with a GUI