There are 9 repositories under policy-gradient topic.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Minimal and Clean Reinforcement Learning Examples
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
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..
A curated list of Monte Carlo tree search papers with implementations.
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Multiple implementations for abstractive text summurization , using google colab
Structural implementation of RL key algorithms
Implementations of Reinforcement Learning Models in Tensorflow
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
[파이썬과 케라스로 배우는 강화학습] 예제
Reinforcement learning tutorials
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017