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486 search results found

Gym Microrts Paper Sb3 ⭐ 19

RL agent to play μRTS with Stable-Baselines3 and PyTorch

A Population Based Reinforcement Learning Library based on PyTorch

A PyTorch implementation of DeepMind's MuZero agent

Deep Reinforcement Learning For Boardgames ⭐ 18

Master Thesis project that provides a training framework for two player games. TicTacToe and Othello have already been implemented.

Super_sac ⭐ 18

A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.

Notebookexplore ⭐ 17

A collection of #MachineLearning #Python Notebooks 🤖 🐍📚 that can be launched to the ☁️ for use and experimentation. No setup needed, just launch it 🚀

Revolver ⭐ 17

REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)

Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

Deep Reinforcement Learning Cs285 Pytorch ⭐ 17

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

PyTorch implementation of Advantage Actor-Critic (A2C)

Great Deep Learning Books ⭐ 16

A Great Collection of Deep Learning (e)Books

Ml_gallery ⭐ 16

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

Dnd Lstm ⭐ 16

A pytorch implementation of LSTM cell with a differentiable neural dictionary, based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall.

One RL Platform is all you need -- Event-driven fully distributed reinforcement learning framework

Pysc2 Rl Mini ⭐ 16

StarCraft II Reinforcement Learning with Pytorch - Mini Games

Continuousprediction ⭐ 16

Formulating Model-based RL Dynamics as a continuous rather then one step prediction

Gym Cartpole Swingup ⭐ 16

A simple, continuous-control environment for OpenAI Gym

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"

Gym Duckietown ⭐ 15

Self-driving car simulator for the Duckietown universe

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

Pytorch Deep Bayesian Bandits ⭐ 15

PyTorch port and extension of the Deep Bayesian Bandits Library

Alpha Zero General ⭐ 15

A very fast implementation of AlphaZero, applied to games like Splendor, Santorini, The Little Prince, … Browser version available

Policy Gradient Methods ⭐ 15

Modular PyTorch implementation of policy gradient methods

fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.

Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体

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

An Open-Source Reinforcement Learning Framework for Robot-Task Environments

Koikoi Ai ⭐ 14

🎴Learning based AI for playing multi-round Koi-Koi hanafuda card games. Have fun.

Deeprl Continuous Control ⭐ 14

Learning Continuous Control in Deep Reinforcement Learning

Pytorch Ocd ⭐ 14

Implementation of the Optimal Completion Distillation for Sequence Labeling

Pytorch Rl ⭐ 14

Pytorch Implementation of RL algorithms

Rl_sandbox_public ⭐ 14

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

The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization" (NeurIPS 2023)

Mlagents ⭐ 13

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

Deepnetslice ⭐ 13

Reinforcement Learning tool for Network Slice Placement problems

Visualdialog Pytorch ⭐ 13

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

Experimentation with Regularized Nash Dynamics on a GPU accelerated game

PyTorch implementation of SimPLe (Simulated Policy Learning) on the Atari 100k benchmark.

Implementing The Powersign And Addsign Rule ⭐ 12

Implementing the update rule found in Neural Optimizer search with Reinforcement learning

Rlcodebase ⭐ 12

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

Mujoco Pytorch ⭐ 12

PPO, DDPG, SAC implementation on mujoco environment

Text summarization with PyTorch

Official implementation of H-TSP (AAAI2023)

A clean framework and implementations for reinforcement learning algorithms.

Papers I Read ⭐ 12

Summaries and notes on recent Deep Learning literature

Challenge Aido_lf Baseline Rl Sim Pytorch ⭐ 12

Deep Rl Tutorial ⭐ 12

A Tutorial on Deep Reinforcement Learning in PyTorch

Self Critical ⭐ 11

PyTorch implementation of paper: "Self-critical Sequence Training for Image Captioning"

Homomorphic_policy_gradient ⭐ 11

Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022

Multi Agent Ddpg Using Pttorch And Ml Agents ⭐ 11

A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.

Dqn Pytorch ⭐ 11

PyTorch - Implicit Quantile Networks - Quantile Regression - C51

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

Dialogue Based Anti Fraud ⭐ 11

Code and data for EMNLP-IJCNLP 2019 paper "Are You for Real? Detecting Identity Fraud via Dialogue Interactions"

A PyTorch Toolbox for Deep Reinforcement Learning

Rl Based Control Of A Soft Continuum Robot ⭐ 10

Simulation based Soft Continuum Robot Control via Reinforcement Learning

TACO-RL: Latent Plans for Task-Agnostic Offline Reinforcement Learning

Ai_research ⭐ 10

This GitHub repo showcases my AI skills with computer vision and reinforcement learning projects. Detailed documentation and code provided.

Reinforcement_learning_phasic_policy_gradient ⭐ 10

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

Study about Artificial Intelligence 🤖, Machine Learning 🚀, and Deep Learning 🧬. Plus, Electrical Engineering ⚡ and Computer Science 💻.

Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020

Coursera Guided Projects 2021 ⭐ 10

Coursera Guided Projects 2021

Differential_ig ⭐ 10

Source code for the differential saliency method used in "Re-understanding Finite-State Representations of Recurrent Policy Networks"

Quantumexplorer ⭐ 10

A quantum reinforcement learning framework for exploring new ideas, based on PyTorch and PennyLane.

Pytorch A2c ⭐ 10

A well-documented A2C written in PyTorch

Reinforcement learning for operation research problems with OpenAI Gym and CleanRL

A PyTorch implementation of DeepMind's MCTSnet

CCFDM reinforcement learning

Pytorch implementation of the Deep Deterministic Policy Gradients Algorithm for Continuous Control

Spacefortress ⭐ 9

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

Iql Pytorch ⭐ 9

Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL

A modular, flexible framework for developing performant algorithms in Reinforcement Learning.

Program for playing chess in the console against AI or human opponents

Pommerman ⭐ 9

💣 Bomberman deep reinforcement learning challenge in PyTorch

Reinforcement ⭐ 9

Reinforcement learning modular with pytorch

Munchausen Rl ⭐ 9

PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN

Pytorch Tutorials ⭐ 9

Different Deep Learning tasks solved using PyTorch models.

Deep Bayesian Quadrature Policy Optimization ⭐ 9

Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.

ExORL: Exploratory Data for Offline Reinforcement Learning

Simple Es ⭐ 9

Simple implementations of multi-agent evolutionary strategies using pytorch.

Pytorch Dqn ⭐ 9

Using pytorch to implement DQN / DDQN / Atari DDQN

Hyperzero ⭐ 9

Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"

Banrinochoujou ⭐ 9

これは　万里の長城　です〜

Pytorch Optimize ⭐ 9

A simple black-box optimization framework to train your pytorch models for optimizing non-differentiable objectives

Pong With Policy Gradients ⭐ 9

Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/

Pytorch_simple_rl ⭐ 9

Simple pytorch implmentation of reinforcement learning algorithms

Pytorch Mace ⭐ 8

A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination

Spac Deformable Registration ⭐ 8

Reinforcement learning for deformable image registration, AAAI 2022

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

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

Evolution Strategies ⭐ 8

🤖Distributed Natural Evolution Strategies Build with PyTorch and Ray

Thesis: Application of Reinforcement Learning for the Control of Nonlinear Dynamical Systems

Deepreinforcementlearningnanodegree ⭐ 8

Exercices and assignments from the Udacity deep reinforcement learning nanodegree

Icm Ppo Implementation ⭐ 8

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML

eve-mli: making learning interesting

Example of an agents for neodroid environments 💡

Ddpg Using Pytorch And Ml Agents ⭐ 8

A simple example of how to implement vector based DDPG using PyTorch and a ML-Agents environment.

Rl Basics ⭐ 8

Simple single file implementation of Deep Reinforcement Learning algorithms

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