Super-mario-bros-PPO-pytorch
pytorch-learn-reinforcement-learning
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| Super-mario-bros-PPO-pytorch | pytorch-learn-reinforcement-learning | |
|---|---|---|
| 1 | 3 | |
| 970 | 139 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | almost 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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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
pytorch-learn-reinforcement-learning
What are some alternatives?
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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).
Amortized-SVGD-GAN - Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
nes-torch - Minimal PyTorch Library for Natural Evolution Strategies
chess - Program for playing chess in the console against AI or human opponents
pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!