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Reinforcement Learning (RL)

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Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

코드

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

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/mugoh/rl-base/tree/master/rlbase/d2rl

D2RL: Deep Dense Architectures in 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/mustelideos/optw_rl

A Reinforcement Learning Approach to the Orienteering Problem with Time Windows

https://github.com/mustelideos/td-opswtw-competition-rl

A Reinforcement Learning Approach to the Orienteering Problem with Time Windows

https://github.com/muttimirco/memento

Unsupervised Reinforcement Learning in Multiple Environments

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

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/mwalton/openspiel_benchmarks

OpenSpiel: A Framework for Reinforcement Learning in Games

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/mykolesiko/nlp_projects

Self-critical Sequence Training for Image Captioning

https://github.com/myo-manipulation/spasticmyoelbow

Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows

https://github.com/myungsub/meta-interpolation

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

https://github.com/n0o8o0n1um/Gym1

https://github.com/n1shetty/Cart-Pole-Balance-with-Reinforcement-Learning

Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem

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

The Arcade Learning Environment: An Evaluation Platform for General Agents

https://github.com/narutomst/Auto-CNN-HSI-Classification

DARTS: Differentiable Architecture Search

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

https://github.com/nathangrinsztajn/rubiks_cube

Solving the Rubik's Cube Without Human Knowledge

https://github.com/nathanieljevans/DVGS

Data Valuation using Reinforcement Learning

https://github.com/nathanin/pad

Playing Atari with Deep Reinforcement Learning

https://github.com/natolambert/dynamicslearn

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

https://github.com/natsumeS/analysis

Playing Atari with Deep Reinforcement Learning

https://github.com/nautilusPrime/autodrive_ddpg

Learning to Drive in a Day

https://github.com/nav74neet/ddpg4biped

Continuous control with deep reinforcement learning

https://github.com/nav74neet/ddpg_biped

Continuous control with deep reinforcement learning

https://github.com/nav74neet/gail-tf-gym

Generative Adversarial Imitation Learning

https://github.com/nav74neet/rl4biped

Continuous control with deep reinforcement learning

https://github.com/naver/aqm-plus

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

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