Papers with Code 아카이브

Deep Reinforcement Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

코드

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

https://github.com/JustinStitt/acrobotDDQN

Deep Reinforcement Learning with Double Q-learning

https://github.com/Justkim/random-network-distillation-pytorch

Exploration by Random Network Distillation

https://github.com/Jzar/Space-Invaders-DQN

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/K-tang-mkv/baseRLAlgorithm

Playing Atari with Deep Reinforcement Learning

https://github.com/KAIST-AILab/deeprl_practice_colab

Continuous control with deep reinforcement learning

https://github.com/Kaixhin/ACER

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/Kaixhin/EC

Model-Free Episodic Control

https://github.com/Kaixhin/NoisyNet-A3C

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/Kaixhin/Rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

https://github.com/Kaixhin/imitation-learning

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

https://github.com/KaiyangZhou/pytorch-vsumm-reinforce

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

https://github.com/KarlXing/RL-Visual-Continuous-Control

Decoupling Representation Learning from Reinforcement Learning

https://github.com/KarolisRam/colour-shape-goal-misgeneralization

Goal Misgeneralization in Deep Reinforcement Learning

https://github.com/KatyNTsachi/Hierarchical-RL

Playing Atari with Deep Reinforcement Learning

https://github.com/KavindaKottege/DeepQ-Pong

Playing Atari with Deep Reinforcement Learning

https://github.com/KeatonMueller/rl-cube

Solving the Rubik's Cube Without Human Knowledge

https://github.com/KelvinYang0320/deepbots-panda

Continuous control with deep reinforcement learning

https://github.com/Kerram/Deephol-Bert-Zpp

HOList: An Environment for Machine Learning of Higher-Order Theorem Proving

https://github.com/Kerram/holist-train

HOList: An Environment for Machine Learning of Higher-Order Theorem Proving

https://github.com/Khrylx/PyTorch-RL

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/Kikumu/Reinforcement-Learning-repo

Continuous control with deep reinforcement learning

https://github.com/KristofPusztai/MixReg

Improving Generalization in Reinforcement Learning with Mixture Regularization

https://github.com/Kunal-Kumar-Sahoo/Deep-Reinforcement-Learning-with-Human-Preferences

Deep reinforcement learning from human preferences

https://github.com/KyleChen400/patch_dqn

Playing FPS Games with Deep Reinforcement Learning

https://github.com/LM095/DDPG-implementation

Continuous control with deep reinforcement learning

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

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

https://github.com/LeejwUniverse/RL_Exploration_Pytorch

Exploration by Random Network Distillation

https://github.com/LiangqunLu/DLForChatbot

Deep Reinforcement Learning for Dialogue Generation

https://github.com/Liberty3000/rl

Relational Deep Reinforcement Learning

https://github.com/LilTwo/DRL-using-PyTorch

Deep Q-learning from Demonstrations

https://github.com/Linging/Traffic-Signal-Control

Playing Atari with Deep Reinforcement Learning

https://github.com/Lorna-Liu/ultrasound_vsumm_RL

Ultrasound Video Summarization using Deep Reinforcement Learning

https://github.com/LucaMaurici/MultiHop-Reading-Comprehension-DRL

Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal

https://github.com/LukasGardberg/cartpole

Playing Atari with Deep Reinforcement Learning

https://github.com/Lyusungwon/apex_dqn_pytorch

Distributed Prioritized Experience Replay

https://github.com/MEOWMEOW114/nd893-p1-navigation-banana

Deep Reinforcement Learning with Double Q-learning

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