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Deep Reinforcement Learning

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/miralab-ustc/rl-spf

Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?

https://github.com/mit-acl/cadrl_ros

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

https://github.com/mit-acl/rl_collision_avoidance

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

https://github.com/mit-biomimetics/orcagym

Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

https://github.com/miyosuda/unreal

Reinforcement Learning with Unsupervised Auxiliary Tasks

https://github.com/mizolotu/SmartExcavator

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards

https://github.com/mjacar/pytorch-nec

Neural Episodic Control

https://github.com/mklissa/dceo

Eigenoption Discovery through the Deep Successor Representation

https://github.com/mkovalski/cs4995_cube

Solving the Rubik's Cube Without Human Knowledge

https://github.com/mle-infrastructure/mle-hyperopt

Population Based Training of Neural Networks

https://github.com/mlisicki/neuralkernelbandits

Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

https://github.com/moduIo/Deep-Q-network

Deep Reinforcement Learning with Double Q-learning

https://github.com/mohit8935/Deep-Q-Learning-Paper

Deep Reinforcement Learning with Double Q-learning

https://github.com/mohith-sakthivel/rainbow_dqn

Rainbow: Combining Improvements in Deep Reinforcement Learning

https://github.com/molomono/CartPole_Optimized_DDQN

Deep Reinforcement Learning with Double Q-learning

https://github.com/monoclecat/latent-conditioned-SAC

Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information

https://github.com/montaserFath/Reinforcement-Learning-for-Prosthetics

Continuous control with deep reinforcement learning

https://github.com/monte-ai/expert-augmented-acktr

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

https://github.com/moreanp/csro

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/morning9393/HAPPO-HATRPO

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

https://github.com/mrahtz/learning-from-human-preferences

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

https://github.com/mrklees/deepconv-chess

Giraffe: Using Deep Reinforcement Learning to Play Chess

https://github.com/mtrazzi/two-step-task

Learning to reinforcement learn

https://github.com/mugoh/rl-base/tree/master/rlbase/aiRL

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

https://github.com/muriloime/awesome-stars

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

https://github.com/murtazarang/MD-MADDPG

Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication

https://github.com/muupan/async-rl

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/mvaldenegro/keras-uncertainty

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

https://github.com/mwbrulhardt/penv

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

https://github.com/mxblr/DeepRLHockey

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/n9839950/EGH400-2-DSN

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/nagaban2/nn_dynamics

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/nagisazj/idaq_public

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/nandomp/AICollaboratory

Playing Atari with Deep Reinforcement Learning

https://github.com/nascarsayan/dl-rubiks-autodidactic-solver

Solving the Rubik's Cube Without Human Knowledge

https://github.com/nathangrinsztajn/Box-World

Relational Deep Reinforcement Learning

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