2023 Open source projects that are alternatives of or similar to Pytorch Rl

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Applied Deep Learning (2019 Spring) @ NTU

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

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

playing idealized trading games with deep reinforcement learning

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

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Reinforcement learning tutorials

Gibson Environments: Real-World Perception for Embodied Agents

Implementations of Reinforcement Learning Models in Tensorflow

Implementations of deep RL papers and random experimentation

OpenAI Gym environments using DART

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

An OpenAI Gym Env for Panda

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

OpenAI's cartpole env solver.

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

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

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Reinforcement learning algorithms for MuJoCo tasks

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

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

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

Guided Policy Search

Reinforcement Learning Algorithms

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

MuZero

A universal flight control tuning framework

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

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

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Explore and find reinforcement learning environments in a list of 150+ open source environments.

RLgraph: Modular computation graphs for deep reinforcement learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

OpenAI Gym wrapper for the DeepMind Control Suite

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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

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

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

ROS 2 enabled Machine Learning algorithms

PyTorch Implementation of REINFORCE for both discrete & continuous control

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Combining deep learning and reinforcement learning.

AI research environment for the Atari 2600 games 🤖.

A collection of multi agent environments based on OpenAI gym.

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

☔ Deep RL agents with PyTorch☔

Assessing Generative Models via Precision and Recall (official repository)

Collection of generative models in Tensorflow

Ape-X DQN & DDPG with pytorch & tensorboard

[파이썬과 케라스로 배우는 강화학습] 예제

PyTorch implementation of Trust Region Policy Optimization

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..