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Reinforcement Learning

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코드

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

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

https://github.com/naver/gdc

Fine-Tuning Language Models from Human Preferences

https://github.com/navneet-nmk/Hierarchical-Meta-Reinforcement-Learning

Diversity is All You Need: Learning Skills without a Reward Function

https://github.com/nbatfai/Robopsychology

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuBrain

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuCTuring

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuKnows

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuLife

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuTuring

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/nahshon

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbopardi/smb

Deep Reinforcement Learning with Double Q-learning

https://github.com/near32/regym

Playing Atari with Deep Reinforcement Learning

https://github.com/neda60/video-summarization-using-FCSN

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

https://github.com/neilsgp/RL-Algorithms

Sample Efficient Actor-Critic with Experience Replay

https://github.com/neitzal/learning-to-distill-trajectories

Generalized Inner Loop Meta-Learning

https://github.com/neka-nat/distributed_rl

Distributed Prioritized Experience Replay

https://github.com/netpaladinx/experiments-for-Backprop-Q

Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs

https://github.com/neuro-soup/es-torch

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

https://github.com/neuroailab/flex-ml-agents

Unity: A General Platform for Intelligent Agents

https://github.com/neurobot-project/AvoidanceSimulation

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

https://github.com/neurodram/3D-recurrent-visual-attention-model

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification

https://github.com/neuroevolution-ai/ProcgenAutoencoder

World Models

https://github.com/neuronalX/reservoirpy

Evolving Reservoirs for Meta Reinforcement Learning

https://github.com/newwhitecheng/compress-all-nn

HAQ: Hardware-Aware Automated Quantization with Mixed Precision

https://github.com/nexusapoorvacus/DeepVariationStructuredRL

Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection

https://github.com/ngoodger/nle-language-wrapper

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

https://github.com/nguyenhoa93/GradCAM_and_GuidedGradCAM_tf2

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

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