1154 Open source projects that are alternatives of or similar to Torchrl

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playing idealized trading games with deep reinforcement learning

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

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Live Trading. Please star.

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Pytorch Implementation of RL algorithms

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xingtian is a componentized library for the development and verification of reinforcement learning algorithms

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MuZero

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

RAD: Reinforcement Learning with Augmented Data

No description or website provided.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Artificial intelligence for the Snake game.

Our NIPS 2017: Learning to Run source code

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

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Accompanying repository for Let's make a DQN / A3C series.

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A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

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Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

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A Trading environment base on Gym

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

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

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

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

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

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

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ChainerRL is a deep reinforcement learning library built on top of Chainer.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.