634 Open source projects that are alternatives of or similar to Savn

ProMP: Proximal Meta-Policy Search

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

Code for the paper "Evolved Policy Gradients"

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..

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

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in progress

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

Reinforcement Learning in Keras on VizDoom

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Deep Neuroevolution

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Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

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Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Python Implementation of Reinforcement Learning: An Introduction

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

The source codes of the paper "Improving Few-shot Text Classification via Pretrained Language Representations" and "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification".

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Deep Reinforcement Learning (DRL) agents applied to medical images

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

Master Thesis: Limit order placement with Reinforcement Learning

Using RGB Image as Visual Input for Mapless Robot Navigation

AIXIjs - General Reinforcement Learning in the Browser

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

Resources, papers, tutorials

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Julia code for the book Reinforcement Learning An Introduction

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

C51-DDQN in Keras

Coding Demos from the School of AI's Move37 Course

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

My personal toolkit for PyTorch development.

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Reinforcement learning models in ViZDoom environment

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

A comprehensive autonomous decentralized systems framework for AI control architects.

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

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

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

pytorch implementation of Optimization as a Model for Few-shot Learning

OpenAI's cartpole env solver.

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

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