Papers with Code 아카이브

General Reinforcement Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 2
평가표: 6
보존된 평가 기록: 12

코드

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

https://github.com/worldanon/learntopredict

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

https://github.com/wuxx1016/Reinforcement-Learning-in-Finance

QLBS: Q-Learner in the Black-Scholes(-Merton) Worlds

https://github.com/wyattlansford/MineRL

MOReL : Model-Based Offline Reinforcement Learning

https://github.com/wyz2368/open_spiel2

OpenSpiel: A Framework for Reinforcement Learning in Games

https://github.com/wyz2368/open_spiel3

OpenSpiel: A Framework for Reinforcement Learning in Games

https://github.com/wyz2368/open_spiel_egta

OpenSpiel: A Framework for Reinforcement Learning in Games

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

Extreme Q-Learning: MaxEnt RL without Entropy

https://github.com/xionghuichen/maple

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

https://github.com/xl402/performer

Rethinking Attention with Performers

https://github.com/yangyucheng000/University/tree/main/model-1/qdqbert

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

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/yifeizhou02/archer

CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning

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

MOPO: Model-based Offline Policy Optimization

https://github.com/yiqinyang/vem

Offline Reinforcement Learning with Value-based Episodic Memory

https://github.com/young-geng/cql

Conservative Q-Learning for Offline Reinforcement Learning

https://github.com/young-geng/jaxcql

Conservative Q-Learning for Offline Reinforcement Learning

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

Decision Transformer: Reinforcement Learning via Sequence Modeling

https://github.com/zchuning/repo

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

https://github.com/zexusun/oilca-neurips23

Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations

https://github.com/zeyuzhang1901/myltr

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective

https://github.com/zhaoolee/garss

Offline Reinforcement Learning for LLM Multi-Step Reasoning

https://github.com/zhejz/trafficbotsv1.5

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction

https://github.com/zhoujianxing123/minigo_v17

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/zzmtsvv/ORL

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation

https://github.com/zzmtsvv/rl_task

Offline Reinforcement Learning with Fisher Divergence Critic Regularization

https://github.com/zzyunzhi/asynch-mb

Asynchronous Methods for Model-Based Reinforcement Learning

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