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The Top 23 Jupyter Notebook Actor Critic Open Source Projects

Open source projects categorized as Jupyter Notebook Actor Critic
Categories > Machine Learning > Actor Critic
Categories > Data Processing > Jupyter Notebook
Deep_reinforcement_learning_course ⭐ 3,581
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
most recent commit a year ago
Deeprl Tutorials ⭐ 726
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
most recent commit 3 years ago
Drq ⭐ 369
DrQ: Data regularized Q
most recent commit a year ago
Reinforcement_learning_tutorial_with_demo ⭐ 357
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
most recent commit 5 years ago
Pytorch_sac ⭐ 232
PyTorch implementation of Soft Actor-Critic (SAC)
most recent commit 2 years ago
Visualize_atari ⭐ 99
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
most recent commit 3 years ago
Deep Reinforcement Learning With Python ⭐ 94
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
most recent commit 3 years ago
Reinforcementlearning Atarigame ⭐ 87
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
most recent commit 5 years ago
Recurrent Ppo Truncated Bptt ⭐ 82
Baseline implementation of recurrent PPO using truncated BPTT
most recent commit 7 months ago
Pytorch Rl ⭐ 64
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
most recent commit 4 years ago
Reinforcement_learning ⭐ 62
Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
most recent commit 2 years ago
Super Mario Bros Rl ⭐ 57
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
most recent commit 5 years ago
Reinforcement Learning ⭐ 39
Personal experiments on Reinforcement Learning
most recent commit 3 years ago
Adl2019 ⭐ 19
Applied Deep Learning (2019 Spring) @ NTU
most recent commit 5 years ago
Adaptive Soft Actor Critic ⭐ 18
most recent commit 4 years ago
Deep Reinforcement Learning Algorithm Collection ⭐ 17
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
most recent commit 3 years ago
Reinforcement Learning For Optimal Financial Trading ⭐ 15
Implementation of the DDPG algorithm for Optimal Finance Trading
most recent commit 5 years ago
Sac ⭐ 13
Pytorch implementation of Soft Actor-Critic
most recent commit 4 years ago
Deep_reinforcement_learning_trading ⭐ 12
Deep Reinforcement Learning for Trading
most recent commit 2 years ago
Multi_agent_soft_actor_critic ⭐ 8
A Pytorch Implementation of Multi Agent Soft Actor Critic
most recent commit 5 years ago
Actor Critic With Emphatic Weightings ⭐ 8
Experiment code for our project on actor-critic algorithms with emphatic weightings.
most recent commit 10 months ago
Energyboost ⭐ 7
Code release of EnergyBoost: Learning-based Control of Home Batteries
most recent commit 3 years ago
Reinforcement Learning On Frozenlake ⭐ 5
Reinforcement Learning Algorithms in a simple Gridworld
most recent commit 5 months ago
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