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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/seungjaeryanlee/rldb

Noisy Networks for Exploration

https://github.com/seungju-k1m/sac-td3-td7

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

https://github.com/sg-nm/Operation-wise-attention-network

Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning

https://github.com/sguo28/DROP_Simulator

DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning

https://github.com/shadowyzy/NIPS2019-MineRL-Competition-solution

The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors

https://github.com/shahabi8/Deep-Reinforcement-Learning

Continuous control with deep reinforcement learning

https://github.com/shahin-01/vqa-ad

Continuous control with deep reinforcement learning

https://github.com/shakedzy/warehouse

Continuous control with deep reinforcement learning

https://github.com/shamanez/Target-Driven-Visual-Navigation-with-Distributed-PPO

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

https://github.com/shaneallcroft/SSB64RLBot

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning

https://github.com/sharan-dce/A3C

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/sharan-dce/coordination-pong

Multiagent Cooperation and Competition with Deep Reinforcement Learning

https://github.com/sharedcare/MARL-Cooperative

Prosocial learning agents solve generalized Stag Hunts better than selfish ones

https://github.com/shariqiqbal2810/maddpg-pytorch

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

https://github.com/shariqiqbal2810/multiagent-particle-envs

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

https://github.com/sharisun18/Absent_Supervisor_Env

AI Safety Gridworlds

https://github.com/shashist/recsys-rl

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling

https://github.com/shashwatsaxena571/DRL-navigation

Deep Reinforcement Learning with Double Q-learning

https://github.com/shehroze37/Augmented-Deep-Reinforcement-Learning-for-3D-environments

Playing Doom with SLAM-Augmented Deep Reinforcement Learning

https://github.com/shehrum/RL_Continous-Control

Continuous control with deep reinforcement learning

https://github.com/shehrum/RL_Navigation

Deep Reinforcement Learning with Double Q-learning

https://github.com/sherry4186/Distributed-DQN

Distributed Prioritized Experience Replay

https://github.com/shunzh/pytorch-maml-rl

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

https://github.com/shyamal-anadkat/offlinerl

d3rlpy: An Offline Deep Reinforcement Learning Library

https://github.com/shyamsn97/controllable-ncas

HyperNCA: Growing Developmental Networks with Neural Cellular Automata

https://github.com/siddharthnishtala/DQN-Trader

Deep reinforcement learning for time series: playing idealized trading games

https://github.com/sisl/gail-driver

Benchmarking Deep Reinforcement Learning for Continuous Control

https://github.com/siyuofzhou/DDPG

Continuous control with deep reinforcement learning

https://github.com/skumar9876/FCRL

Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning

https://github.com/sliao-mi-luku/DeepRL-multiple-agents-tennis-udacity-drlnd-p3

Continuous control with deep reinforcement learning

https://github.com/slowjazz/interactive-atari-RL

Visualizing and Understanding Atari Agents

https://github.com/smj007/Breakout_A3C

Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay

https://github.com/smrjan/robotic-vision

Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods

https://github.com/social-dilemma/multiagent

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

https://github.com/songrotek/DDPG

Continuous control with deep reinforcement learning

https://github.com/soumik12345/DDPG

Continuous control with deep reinforcement learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.