Awesome Open Source

Programming Languages

Search results for ppo

344 search results found

Simple Pytorch Rl ⭐ 15

Reinforcement Learning Methods with PyTorch

Implementation Matters ⭐ 15

Metalwarfareml ⭐ 15

Metal Warfare game for ML-Agents challenge

Tf_practice ⭐ 15

TensorFlow 1.x Practice

Study_group_of_model Based_rl ⭐ 15

Study Group of Model-based RL, 高橋研究室のモデルベース強化学習勉強会のスライドのまとめです

fork of rl-baseline-zoo

Pytorch Ppo ⭐ 14

Simple, readable, yet full-featured implementation of PPO in Pytorch

Pytorch Image Quality Param Ctrl ⭐ 14

use pytorch DeepBIQ and Proximal Policy Optimization（PPO） to search usb camera image quality param

Rl_sandbox_public ⭐ 14

PyTorch implementation of (Deep) Reinforcement Learning (RL) algorithms

Dota2_dppo_bots ⭐ 14

Rl_trading ⭐ 14

Robot Learning ⭐ 14

Reinforcement_learning_ppo_rnd ⭐ 14

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Ppo Dash ⭐ 13

PPO Dash: Improving Generalization in Deep Reinforcement Learning

Deepracer_env ⭐ 13

A virtual environment for training the aws deep racer.

Reinforcement learning for deep brain stimulation (DBS) modeling

Deep Reinforcement Learning Notebooks ⭐ 13

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Lightweight deep RL Libraray for continuous control.

Mlagents ⭐ 13

This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.

Series of deep reinforcement learning algorithms 🤖

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

Rider Ppo ⭐ 12

Rider Reinforcement Learning Environment with Proximal Policy Optimization

Mujoco Pytorch ⭐ 12

PPO, DDPG, SAC implementation on mujoco environment

Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.

Treeagent ⭐ 12

Decision tree ensembles as RL policies

Expresslanes_deep Rl ⭐ 12

Instructllama ⭐ 12

Implements pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF), to train and fine-tune the LLaMA2 model to follow human instructions, similar to InstructGPT or ChatGPT, but on a much smaller scale.

A clean framework and implementations for reinforcement learning algorithms.

Snake Ai ⭐ 11

Using deep reinforcement learning to play Snake game. The used algorithm is PPO for discrete! It has the brilliant performance in the field of discrete action space just like in continuous action space. You just need half an hour to train the snake and then it can be as smart as you.|使用深度强化学习玩蛇游戏。使用的算法是离散的 PPO！它在离散动作空间领域有着与连续动作空间一样的出色表现。

Pytorch-based python library for continuous reinforcement learning and imitation learning [superseded by @osudrl/apex]

A simple and neat implementation of reinforcement learning algorithms.

Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.

Ai Parking Unity ⭐ 11

A RL project focussed on autonomous parking, using Unity's MLAgents toolkit.

Deeper_larger_actor Critic_rl ⭐ 11

Pytorch implementation of large network design in continous control RL.

Reinforcement Learning ⭐ 11

Collection of reinforcement learning algorithms implementations with TensorFlow2

Multiagent Ppo ⭐ 11

Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis

Rl Practice Keras ⭐ 11

Baselines of reinforcement learning trading agents for China stock market

Generativeplayingnetworks ⭐ 11

Research Into Learning to Generate Game Levels through Play

Tensorflow implementation of proximal policy optimization (PPO) algorithm

PPO lab project. Android, Java

Reinforcement_learning_phasic_policy_gradient ⭐ 10

Deep Reinforcement Learning by using Phasic Policy Gradient in Pytorch & Tensorflow

Ship Sim Gym ⭐ 10

Simple top-down low-performance Open AI gym wrapper of a ship simulator with training scripts for Rllib and stable-baselines

Policy_based_rl ⭐ 10

The implement of the policy gradient RL algorithm with pytorch

Achievement Distillation ⭐ 10

Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 2023)

Rl Botics ⭐ 10

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

Alpaca Lora Rlhf Pytorch ⭐ 10

A full pipeline to finetune Alpaca LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the Alpaca architecture. Basically ChatGPT but with Alpaca

Reinforcement learning for operation research problems with OpenAI Gym and CleanRL

ReLAx - Reinforcement Learning Applications Library

Reinforcement learning algorithms with Generalized Advantage Estimation

Rl_algorithms ⭐ 10

Take the code of the reinforcement learning algorithm here~

Recommendation Gym ⭐ 9

MovieLens recommendation system using reinforcement learning (GYM + PPO)

Spacexrocket ⭐ 9

Neural Network learns to land a rocket using Pytorch, Unity's MLAgents and PPO.

Ppo_reacher ⭐ 9

Robotics Arm Control in Unity ML with Proximal Policy Optimization (PPO)

Portfolio Management Actorcriticrl ⭐ 9

Portfolio management using Actor-Critic Deep Reinforcement Learning algorithms including A2C, DDPG, and PPO

Proximal Policy Option-Critic

A Reinforcement Learning framework for the NAO robot

Deepreinforcementlearningpapers ⭐ 9

Reinforcementlearningsystem ⭐ 9

Use Deep Reinforcement Learning Algorithms in a simple scene.

Deeprl Pytorch ⭐ 9

Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.

Reinforcement learning in pure JAX.

Rlin200lines ⭐ 9

PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines

KERL: reinforcement learning algorithms and tools implemented using Keras

Spacefortress ⭐ 9

OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206

An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.

Bc Regularized Gail ⭐ 8

Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch

Deep reinforcement learning framework for fast prototyping based on PyTorch

A project for the DRL framework. AINE means "Agent IN Environment".

Rl Basics ⭐ 8

Simple single file implementation of Deep Reinforcement Learning algorithms

Wscad 2019 ⭐ 8

Halide with Reinforcement Learning

Rad_procgen ⭐ 8

RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)

Ppo Tensorflow 2.0 ⭐ 8

Proximal Policy Optimization with Tensorflow 2.0

This repo was moved to: https://github.com/tradingAI/tbase

Pogema Baselines ⭐ 8

PPO and PyMARL baseline for Pogema environment

A Deep Reinforcement Learning (DeepRL) package for RL algorithm developers.

testing MLP, DQN, PPO, policy-gradient , LSTM + DQN by snake

T Rex Irl ⭐ 8

Trajectory-ranked Reward EXtrapolation (T-REX) for Inverse Reinforcement Learning - A Tensorflow implementation trained on OpenAI Gym environments

Multi_agent_ppo ⭐ 8

Multi agent PPO implementation in Pytorch for Unity ML Agents environments.

Landing Starships ⭐ 8

Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)

Udacity Deeprl Ppo ⭐ 8

Udacity Deep Reinforecment Learning - Implementation of Proximal Policy Optimization (PPO)

A Torch Based RL Framework for Rapid Prototyping of Research Papers

Example of an agents for neodroid environments 💡

Rl Framework ⭐ 8

Framework of Reinforcement Learning algorithms for AILab, Peking University

Rl Multi Agent Car Parking ⭐ 8

Multi-Agent Car Parking using Reinforcement Learning.

C++ version of a Deep Reinforcement Learning algorithm PPO

RLbox: Solving OpenAI Gym with TensorFlow

Unstable_baselines ⭐ 8

A TF2.0 implementation of RL baselines.

Reinforcement Learning for Elden Ring on Windows11

Benchmark Efficient Reinforcement Learning With Demonstrations ⭐ 7

Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.

Rl Toolkit ⭐ 7

Deeprl Intro ⭐ 7

Introducing myself to deep reinforcement learning

General-Purpose Reinforcement Learning

Tf2 A2c Ppo ⭐ 7

Atari_pong_ppo_dqn ⭐ 7

Path Planning And Reinforcement Learning ⭐ 7

We will create a map from the reality and put a diferential robot in there with the aim to use an path planning algorithm through reinforcement learning (PPO)

Pytorch_bco ⭐ 7

A PyTorch implementation of BCO

Pathfinding Using Reinforcement Learning

Rl Hierarchical Critics ⭐ 7

Reinforcement Learning from Hierarchical Critics

Related Searches

Python Ppo (446)

Reinforcement Learning Ppo (221)

201-300 of 344 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.