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Search results for pytorch policy gradient

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42 search results found

Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

Deep Reinforcement Learning With Pytorch ⭐ 2,741

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Minimalrl ⭐ 2,417

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Ppo Pytorch ⭐ 1,270

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Slm Lab ⭐ 1,052

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Pytorch Rl ⭐ 638

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Rl_algorithms ⭐ 470

Structural implementation of RL key algorithms

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Handyrl ⭐ 278

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

Multihopkg ⭐ 252

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Pytorch Maddpg ⭐ 231

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

Pytorch Ddpg ⭐ 207

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Seqgan Pytorch ⭐ 178

A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Torchrl ⭐ 107

Highly Modular and Scalable Reinforcement Learning

Episodic Transformer Memory Ppo ⭐ 99

Clean baseline implementation of PPO using an episodic TransformerXL memory

Reinforcement_learning ⭐ 89

강화학습에 대한 기본적인 알고리즘 구현

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

Recurrent Ppo Truncated Bptt ⭐ 82

Baseline implementation of recurrent PPO using truncated BPTT

Explorer ⭐ 68

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Pytorch Rl ⭐ 64

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Imitation_learning ⭐ 56

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Cst_captioning ⭐ 48

PyTorch Implementation of Consensus-based Sequence Training for Video Captioning

Pytorch Learn Reinforcement Learning ⭐ 42

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.

Policy Gradient Methods ⭐ 35

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Reinforcementlearning ⭐ 32

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy basd)的代码，代码都经过调试并可以运行

Seqgan Pytorch ⭐ 30

Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

Practical_rl ⭐ 24

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

Ddpg Pytorch ⭐ 21

Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite

Applied Deep Learning (2019 Spring) @ NTU

Pytorch Rdpg ⭐ 18

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Deep Reinforcement Learning Cs285 Pytorch ⭐ 17

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Policy Gradient Methods ⭐ 15

Modular PyTorch implementation of policy gradient methods

Lightweight deep RL Libraray for continuous control.

Actor Critic Pytorch ⭐ 12

Policy Gradient Actor-Critic PyTorch | Lunar Lander v2

Rl_webots ⭐ 10

Webots project to show how to use Deep Reinforcement Learning with Webots in C++.

Pong With Policy Gradients ⭐ 9

Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/

Deep Bayesian Quadrature Policy Optimization ⭐ 9

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

Seqgan Pytorch ⭐ 8

An optimized version of SeqGAN in pytorch

Transportation Routes Optimization By Rl ⭐ 7

Application of reinforcement learning to Optimize transportation routes using reinforcement learning

Nes Torch ⭐ 6

Minimal PyTorch Library for Natural Evolution Strategies

Model Based Rl ⭐ 5

Model-based Policy Gradients

This repository contains the code for the paper "Local policy search with Bayesian optimization".

Pytorch Cpo ⭐ 5

PyTorch implementation of Constrained Policy Optimization

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