677 Open source projects that are alternatives of or similar to Tensorflow Rl

A collection of multi agent environments based on OpenAI gym.

Reinforcement learning with A* and a deep heuristic

ns3-gym - The Playground for Reinforcement Learning in Networking Research

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

A universal flight control tuning framework

Tensorflow implementation of A3C algorithm

Pytorch Implementation of RL algorithms

PyTorch implementation of "Asynchronous advantage actor-critic"

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

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

This is a simple implementation of DeepMind's PySC2 RL agents.

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

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

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

PyTorch implementation of Trust Region Policy Optimization

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

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

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

Structural implementation of RL key algorithms

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

My experimentations with Reinforcement Learning in Pytorch

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

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

use AI to play some games.

OpenAI Gym environments using DART

An OpenAI Gym Env for Panda

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

The Retro Learning Environment (RLE) -- a learning framework for AI

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

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

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

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

🔥🌟《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 Hierarchical Actor Critic (HAC) for OpenAI gym environments

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

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

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Gridworld environments for OpenAI gym.

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

A working implementation of the Categorical DQN (Distributional RL).

OpenAI Gym wrapper for the DeepMind Control Suite

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

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

🤖 Implements of Reinforcement Learning algorithms.

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

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

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

An elegant PyTorch deep reinforcement learning library.

Tensorflow implementation of generative adversarial imitation learning

Minimalistic gridworld package for OpenAI Gym

Highly Modular and Scalable Reinforcement Learning

강화학습에 대한 기본적인 알고리즘 구현

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.