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reinforcement-learning-algorithms

Here are 463 public repositories matching this topic...

udacity / deep-reinforcement-learning

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Repo for the Deep Reinforcement Learning Nanodegree program

reinforcement-learning deep-reinforcement-learning openai-gym pytorch dqn neural-networks reinforcement-learning-algorithms dynamic-programming hill-climbing ddpg cross-entropy openai-gym-solutions pytorch-rl ppo ml-agents rl-algorithms

Updated Aug 22, 2020
Jupyter Notebook

stable-baselines

hill-a / stable-baselines

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A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

python data-science machine-learning reinforcement-learning toolbox openai gym reinforcement-learning-algorithms baselines

Updated Aug 26, 2020
Python

stable-baselines3

DLR-RM / stable-baselines3

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

python machine-learning reinforcement-learning robotics pytorch toolbox openai gym reinforcement-learning-algorithms sde baselines stable-baselines

Updated Aug 28, 2020
Python

cbfinn / gps

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Guided Policy Search

reinforcement-learning deep-learning robotics deep-reinforcement-learning reinforcement-learning-algorithms

Updated Jun 26, 2018
Python

rex-gym

nicrusso7 / rex-gym

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

machine-learning reinforcement-learning robot robotics tensorflow openai-gym python3 artificial-intelligence inverse-kinematics openai reinforcement-learning-algorithms legged-robots quadruped openai-gym-environments pybullet gym-environment quadruped-robot-gaits quadruped-robots quadruped-robot spotmicro

Updated Aug 28, 2020
Python

cpnota / autonomous-learning-library

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Open

Fix CI

cpnota commented Aug 13, 2020

There seems to be some issues stemming from some Pytorch changes, seemingly to do with float/double. See: https://travis-ci.com/github/cpnota/autonomous-learning-library/builds/179286204

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bug good first issue

awesome-monte-carlo-tree-search-papers

benedekrozemberczki / awesome-monte-carlo-tree-search-papers

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A curated list of Monte Carlo tree search papers with implementations.

learning machine-learning reinforcement-learning deep-learning monte-carlo machine-learning-algorithms q-learning policy-gradient reinforcement-learning-algorithms rl tree-search atari policy-evaluation monte-carlo-tree-search deep-q-learning reinforcement-learning-agent

Updated Aug 2, 2020
Python

Omegastick / pytorch-cpp-rl

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PyTorch C++ Reinforcement Learning

reinforcement-learning cplusplus cpp pytorch reinforcement-learning-algorithms continuous-control actor-critic pytorch-rl proximal-policy-optimization ppo advantage-actor-critic a2c libtorch pytorch-cpp-frontend

Updated May 3, 2020
C++

JuliaPOMDP / POMDPs.jl

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MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

reinforcement-learning julia artificial-intelligence pomdps reinforcement-learning-algorithms control-systems markov-decision-processes mdps

Updated Aug 5, 2020
Julia

MishaLaskin / curl

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CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

deep-neural-networks reinforcement-learning deep-learning curl gpu deep-reinforcement-learning deep-learning-algorithms reinforcement-learning-algorithms deeplearning deep-q-network sac deep-q-learning reinforcement-agents deep-rl deeplearning-ai contrastive-loss off-policy contrastive-predictive-coding model-free-rl contrastive-learning

Updated Aug 25, 2020
Python

imagry / aleph_star

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Reinforcement learning with A* and a deep heuristic

reinforcement-learning machine-learning-algorithms dqn reinforcement-learning-algorithms control-systems optimization-algorithms shortest-path

Updated Dec 13, 2018
Jupyter Notebook

nikhilbarhate99 / PPO-PyTorch

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Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

deep-reinforcement-learning pytorch policy-gradient reinforcement-learning-algorithms pytorch-tutorial proximal-policy-optimization ppo pytorch-implmention

Updated Jul 16, 2020
Python

SforAiDl / genrl

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Open

Examples

2

Sharad24 commented Aug 28, 2020

Examples are broken and imports need to be fixed after #256

Thanks, @DarylRodrigo and @ajaysub110 for pointing this out.

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Examples good first issue

Open

Allow Logger free form printing

2

Open

Trainer and Agent envs object

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qiwihui / reinforcement-learning-an-introduction-chinese

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《Reinforcement Learning: An Introduction》（第二版）中文翻译

reinforcement-learning reinforcement-learning-algorithms sphinx-doc

Updated Dec 30, 2019
Python

Madhu009 / Deep-math-machine-learning.ai

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A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

machine-learning natural-language-processing deep-neural-networks tensorflow word2vec linear-regression q-learning neural-networks reinforcement-learning-algorithms sarsa logistic-regression gans support-vector-machines policy-iteration value-iteration gradient-descent-algorithm monte-carlo-methods temporal-differencing-learning general-adversarial-network

Updated Mar 15, 2019
Jupyter Notebook

EricSteinberger / PokerRL

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Framework for Multi-Agent Deep Reinforcement Learning in Poker

framework research reinforcement-learning poker deep-learning reinforcement-learning-algorithms ray gym-environment

Updated Jul 4, 2020
Python

david-abel / simple_rl

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A simple framework for experimenting with Reinforcement Learning in Python.

python agent reinforcement-learning mdp reinforcement-learning-algorithms planning-algorithms

Updated Aug 24, 2020
Python

kkuette / TradzQAI

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Trading environnement for RL agents, backtesting and training.

algorithm reinforcement-learning bitcoin trading trading-bot reinforcement-learning-algorithms trading-algorithms backtesting bitcoin-bot reinforcement-learning-agent trading-env

Updated Jan 16, 2019
Python

EricSteinberger / Deep-CFR

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Scalable Implementation of Deep CFR and Single Deep CFR

research reinforcement-learning poker deep-learning neural-networks reinforcement-learning-algorithms cfr imperfect-information-games counterfactual-regret-minimization

Updated May 6, 2020
Python

aditya1702 / Machine-Learning-and-Data-Science

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This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

data-science machine-learning deep-learning deep-reinforcement-learning kaggle-competition reinforcement-learning-algorithms machine-learning-book

Updated Jul 29, 2020
Jupyter Notebook

activatedgeek / torchrl

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Open

Reference Implementation of Soft-Actor Critic (SAC)

activatedgeek commented Dec 14, 2018

Paper: https://arxiv.org/abs/1801.01290
Blog Post: https://bair.berkeley.edu/blog/2018/12/14/sac/

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area/algorithm good first issue priority/p1

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Reference Implementation for MCTS

Nasdin / ReinforcementLearning-AtariGame

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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

python reinforcement-learning deep-reinforcement-learning openai-gym pytorch lstm reinforcement-learning-algorithms a3c universe adam rmsprop actor-critic asynchronous-advantage-actor-critic reinforcement-agents a3c-lstm

Updated Feb 27, 2019
Jupyter Notebook

nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorch

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

reinforcement-learning deep-reinforcement-learning openai-gym pytorch reinforcement-learning-algorithms hierarchical-reinforcement-learning actor-critic gym-environment pytorch-rl gym-environments pytorch-implementation

Updated Feb 12, 2020
Python

Ceruleanacg / Reinforcement-Learning

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🤖 Implements of Reinforcement Learning algorithms.

reinforcement-learning deep-reinforcement-learning dqn deep-learning-algorithms reinforcement-learning-algorithms papers ddpg

Updated Apr 1, 2018
Python

sichkar-valentyn / Reinforcement_Learning_in_Python

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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 q-learning path-planning rl-agents reinforcement-learning-algorithms sarsa maze-algorithms obstacle-avoidance maze-solver shortest-path rl-playground sarsa-learning sarsa-search rl-emulator rl-environment rl-algorithms rl-experiments rl-qlearning q-learning-vs-sarsa rl-sarsa

Updated Jul 19, 2019
Python

jcwleo / Reinforcement_Learning

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강화학습에 대한 기본적인 알고리즘 구현

reinforcement-learning deep-learning tensorflow pong pytorch dqn policy-gradient cartpole breakout reinforcement-learning-algorithms

Updated Oct 16, 2018
Python

mohamedameen93 / CS-7641-Machine-Learning-Notes

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In this repository, I will publish my notes for GaTech's Machine Learning course CS7621.

computer-science machine-learning reinforcement-learning machine-learning-algorithms reinforcement-learning-algorithms omscs georgia-tech

Updated May 13, 2020

cap-ntu / baconian-project

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Model-based Reinforcement Learning Framework

reinforcement-learning reinforcement-learning-algorithms model-based model-based-rl model-based-reinforcement-learning

Updated May 22, 2020
Python

TensorSwarm / TensorSwarm

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TensorSwarm: A framework for reinforcement learning of robot swarms.

reinforcement-learning robotics tensorflow multi-agent reinforcement-learning-algorithms swarm-intelligence-algorithms swarm-robotics multi-agent-reinforcement-learning

Updated Feb 4, 2020
Python

arnomoonens / yarll

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Combining deep learning and reinforcement learning.

python reinforcement-learning tensorflow deep-reinforcement-learning openai-gym policy-gradient reinforcement-learning-algorithms sarsa a3c soft-actor-critic

Updated Aug 10, 2020
Python

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