JORLDY
Super-mario-bros-PPO-pytorch
JORLDY | Super-mario-bros-PPO-pytorch | |
---|---|---|
1 | 1 | |
356 | 970 | |
0.0% | - | |
0.0 | 0.0 | |
about 1 year ago | almost 3 years ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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JORLDY
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JORLDY: OpenSource Reinforcement Learning Framework
JORLDY github link: https://github.com/kakaoenterprise/JORLDY
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?
LightZero - [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
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AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
muzero-general - MuZero
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.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
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).
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
chess - Program for playing chess in the console against AI or human opponents