policy-adaptation-during-deployment
Super-mario-bros-PPO-pytorch
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| policy-adaptation-during-deployment | Super-mario-bros-PPO-pytorch | |
|---|---|---|
| 1 | 1 | |
| 109 | 970 | |
| - | - | |
| 1.8 | 0.0 | |
| over 3 years ago | almost 3 years ago | |
| Python | Python | |
| - | MIT License |
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policy-adaptation-during-deployment
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Exploring Self-Supervised Policy Adaptation To Continue Training After Deployment Without Using Any Rewards
Code: https://github.com/nicklashansen/policy-adaptation-during-deployment
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?
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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.
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).
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.