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Top 62 policy-gradient open source projects

Multihopkg
Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout
Deep Algotrading
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
A2c
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
Show Adapt And Tell
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
Policy Gradient
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
Pytorch Rl
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Easy Rl
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Deep Reinforcement Learning With Pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deeprl algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Codegan
[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
Parl Sample
Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)
Slm Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Rlseq2seq
Deep Reinforcement Learning For Sequence to Sequence Models
Pytorch Rl
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Seqgan
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Deer
DEEp Reinforcement learning framework
Reinforcement learning tutorial with demo
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..
Deep Rl Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Ppo Pytorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Openai lab
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Reinforcement Learning Kr
[파이썬과 케라스로 배우는 강화학습] 예제
deep trading
This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.
policy-gradient-pong
tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/
SeqGAN-PyTorch
Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
Deep-rl-mxnet
Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
HandyRL
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
RL
A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm
TAA-PG
Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).
deep rl acrobot
TensorFlow A2C to solve Acrobot, with synchronized parallel environments
1-60 of 62 policy-gradient projects