118 Open source projects that are alternatives of or similar to td-reg

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

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

An elegant PyTorch deep reinforcement learning library.

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

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ROS 2 enabled Machine Learning algorithms

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🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

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a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm

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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 …

Implementations of Reinforcement Learning Models in Tensorflow

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Live Trading. Please star.

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

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

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A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

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Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras