Papers with Code 아카이브

MuJoCo Games

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

17

보존된 평가 기록

20

코드

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

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

d3rlpy: An Offline Deep Reinforcement Learning Library

https://github.com/sliao-mi-luku/Chatbot-Reformer

Reformer: The Efficient Transformer

https://github.com/sliao-mi-luku/NLP-Chatbot-Reformer-Trax

Reformer: The Efficient Transformer

https://github.com/snu-mllab/edac

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

https://github.com/ssokota/mmd

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games

https://github.com/teddykoker/performer

Rethinking Attention with Performers

https://github.com/tensorflow/models/tree/master/official/nlp/modeling

Rethinking Attention with Performers

https://github.com/thibaultdouzon/long-range-document-transformer

cosFormer: Rethinking Softmax in Attention

https://github.com/twni2016/f-IRL

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

https://github.com/typoverflow/OfflineRL-Lib

Decision Transformer: Reinforcement Learning via Sequence Modeling

https://github.com/xavierchanglingli/regularized-optimal-experience-replay

Extreme Q-Learning: MaxEnt RL without Entropy

https://github.com/xl402/performer

Rethinking Attention with Performers

https://github.com/yangyucheng000/University/tree/main/model-3/reformer

Reformer: The Efficient Transformer

https://github.com/yifan123/arxiv_spider

False Correlation Reduction for Offline Reinforcement Learning

https://github.com/yihaosun1124/OfflineRL-Kit

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

https://github.com/yiqinyang/vem

Offline Reinforcement Learning with Value-based Episodic Memory

https://github.com/yun-kwak/decision-transformer-jax

Decision Transformer: Reinforcement Learning via Sequence Modeling

https://github.com/zzmtsvv/ORL

Mildly Conservative Q-Learning for Offline Reinforcement Learning

https://github.com/zzmtsvv/rl_task

Decision Transformer: Reinforcement Learning via Sequence Modeling

https://github.com/zzmtsvv/sac_drnd

Anti-Exploration by Random Network Distillation

https://github.com/zzmtsvv/sac_rnd

Anti-Exploration by Random Network Distillation

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