542 Open source projects that are alternatives of or similar to Pytorch Rdpg

TensorFlow and Deep Learning Tutorials

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Deep Reinforcement Learning based Trading Agent for Bitcoin

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Top 200 deep learning Github repositories sorted by the number of stars.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Visualizing RNNs using the attention mechanism

Named Entity Recognition using multilayered bidirectional LSTM

Guided Policy Search

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Gibson Environments: Real-World Perception for Embodied Agents

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

An evolving guide to learning Deep Learning effectively.

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

Implementations of Reinforcement Learning Models in Tensorflow

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

A course in reinforcement learning in the wild

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Code repository for the Animal AI Olympics competition

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

VIP cheatsheets for Stanford's CS 230 Deep Learning

Reinforcement learning environments with musculoskeletal models

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Open-source simulator for autonomous driving research.

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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

List of awesome resources for machine learning-based algorithmic trading

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

The SSBM "Phillip" AI.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

A3C LSTM Atari with Pytorch plus A3G design

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

RNN-based generative models for speech.

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Deep Reinforcement Learning with pytorch & visdom

Machine Learning on Sequential Data Using a Recurrent Weighted Average

DEEp Reinforcement learning framework

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Python library for Reinforcement Learning.

List of papers, code and experiments using deep learning for time series forecasting

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

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..

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Playing Mario with Deep Reinforcement Learning

Char-RNN implemented using TensorFlow.