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Reinforcement Learning

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평가표

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보존된 평가 기록

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코드

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

https://github.com/yangrui2015/rorl

공식 코드

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing

https://github.com/yangrui2015/uwmsg

공식 코드

Corruption-Robust Offline Reinforcement Learning with General Function Approximation

https://github.com/yangzhao1230/taco

공식 코드

Regulatory DNA sequence Design with Reinforcement Learning

https://github.com/yannbouteiller/eola

공식 코드

Evolution of Societies via Reinforcement Learning

https://github.com/yannikkellerde/gnn_hex

공식 코드

From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?

https://github.com/yanqidai/igb4mtl

공식 코드

Improvable Gap Balancing for Multi-Task Learning

https://github.com/yantianzha/serlfd

공식 코드

Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning

https://github.com/yaqingwang/WeFEND-AAAI20

공식 코드

Weak Supervision for Fake News Detection via Reinforcement Learning

https://github.com/yaserkl/RLSeq2Seq

공식 코드

Deep Reinforcement Learning For Sequence to Sequence Models

https://github.com/yaserkl/TransferRL

공식 코드

Deep Transfer Reinforcement Learning for Text Summarization

https://github.com/yashen998/gates

공식 코드

GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy

https://github.com/yasinsonmez/symmetry-cs285

공식 코드

Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards

https://github.com/yasirbarlas/RL-BOED

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Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design

https://github.com/yassinech/caps

공식 코드

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning

https://github.com/ycchen1989/Var-QuantumCircuits-DeepRL

공식 코드

Variational Quantum Circuits for Deep Reinforcement Learning

https://github.com/yd-19/ham4drl

공식 코드

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking

https://github.com/yd-kwon/POMO

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POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

https://github.com/ydchen0806/dbmim

공식 코드

Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning

https://github.com/yejimun/pas_crowdnav

공식 코드

Occlusion-Aware Crowd Navigation Using People as Sensors

https://github.com/yeliu0930/Knowledge-guided-Open-Attribute-Value-Extraction-with-Reinforcement-Learning

공식 코드

Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

https://github.com/yeliu918/QREFINE-PPO

공식 코드

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System

https://github.com/yemam3/mod-rl-rcbf

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Safe Reinforcement Learning Using Robust Control Barrier Functions

https://github.com/yenchenlin/rl-attack-detection

공식 코드

Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight

https://github.com/yeshenpy/awesome-evolutionary-reinforcement-learning

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Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms

https://github.com/yeshenpy/erl-re2

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ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

https://github.com/yetiminer/dogbarometer

공식 코드

Causal Campbell-Goodhart's law and Reinforcement Learning

https://github.com/yf-he/instrumentaleval

공식 코드

Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?

https://github.com/yfletberliac/adversarially-guided-actor-critic

공식 코드

Adversarially Guided Actor-Critic

https://github.com/yfzhang/vehicle-motion-forecasting

공식 코드

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

https://github.com/yg211/summary-reward-no-reference

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Better Rewards Yield Better Summaries: Learning to Summarise Without References

https://github.com/ygjin11/task-hypernet

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Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork

https://github.com/yihangyao/OASIS

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OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning

https://github.com/yilundu/task_agnostic_dynamics_prior

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Task-Agnostic Dynamics Priors for Deep Reinforcement Learning

https://github.com/yimengli46/bellman_point_goal

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Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation

https://github.com/ying-wen/gr2

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Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning

https://github.com/yingchengyang/BIRIS

공식 코드

On the Reuse Bias in Off-Policy Reinforcement Learning

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