Reinforcement-Learning
snakeAI
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Reinforcement-Learning | snakeAI | |
---|---|---|
1 | 1 | |
4,091 | 10 | |
- | - | |
0.0 | 5.5 | |
almost 4 years ago | about 2 months ago | |
Jupyter Notebook | C++ | |
MIT License | - |
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Reinforcement-Learning
snakeAI
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[D] How does Deep Reinforcement Learning remove the need to map or explore every state, action pair for an agent?
i am not very good at machine learning, here's my project https://github.com/WorldEditor50/snakeAI/tree/master/snakeAI, i hope it can help you.
What are some alternatives?
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).
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT
FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
torchRL - TorchRL is a C++ reinforcement library using PyTorch C++ backend LibTorch
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
tianshou - An elegant PyTorch deep reinforcement learning library.
Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
TextWorld - TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
gdrl - Grokking Deep Reinforcement Learning
deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
diffusion_models - Minimal standalone example of diffusion model