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Reinforcement Learning

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코드

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

https://github.com/zhangxj199/tinyllava-video-r1

공식 코드

TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning

https://github.com/zhangzizhen/ml-dam

공식 코드

Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems

https://github.com/zhao-song/Softmax-DQN

공식 코드

Revisiting the Softmax Bellman Operator: New Benefits and New Perspective

https://github.com/zhaolingao/rebel

공식 코드

REBEL: Reinforcement Learning via Regressing Relative Rewards

https://github.com/zhaoyi11/adaptive_bc

공식 코드

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning

https://github.com/zhaoyi11/tcrl

공식 코드

Simplified Temporal Consistency Reinforcement Learning

https://github.com/zhaoyl18/ratio_game

공식 코드

Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning

https://github.com/zhehuazhou/llm_reward_design

공식 코드

Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics

https://github.com/zhehui-huang/quad-swarm-rl

공식 코드

QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control

https://github.com/zhejz/carla-roach

공식 코드

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

https://github.com/zhenduow/conversationalQA

공식 코드

Controlling the Risk of Conversational Search via Reinforcement Learning

https://github.com/zheng0428/more_

공식 코드

MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces

https://github.com/zheng321/deep-reinforcement-learning-for-cost-effective-medical-diagnosis

공식 코드

Deep Reinforcement Learning for Cost-Effective Medical Diagnosis

https://github.com/zhenghuazx/BayesianLRPolicySearch

공식 코드

Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control

https://github.com/zhenghuazx/EHR-RL

공식 코드

Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records

https://github.com/zhengyinan-air/fisor

공식 코드

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model

https://github.com/zhihanyang2022/off-policy-continuous-control

공식 코드

Recurrent Off-policy Baselines for Memory-based Continuous Control

https://github.com/zhijing-jin/3D_Traffic_in_Unity

공식 코드

3D Traffic Simulation for Autonomous Vehicles in Unity and Python

https://github.com/zhilingluo/theorem_prover

공식 코드

Reinforced Large Language Model is a formal theorem prover

https://github.com/zhimengj0326/ekRLB

공식 코드

Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising

https://github.com/zhiqiangzhongddu/PM-HGNN

공식 코드

Personalised Meta-path Generation for Heterogeneous GNNs

https://github.com/zhishenhuang/rlsamp

공식 코드

Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences

https://github.com/zhixuan-lin/ensemble-rl-continuous

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The Curse of Diversity in Ensemble-Based Exploration

https://github.com/zhixuan-lin/ensemble-rl-discrete

공식 코드

The Curse of Diversity in Ensemble-Based Exploration

https://github.com/zhiyuanhubj/meta-ability-alignment

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Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

https://github.com/zhongdy15/npm

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No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning

https://github.com/zhongxiayan/mixed_autonomy_intersections

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Reinforcement Learning for Mixed Autonomy Intersections

https://github.com/zhougroup/IDAC

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Implicit Distributional Reinforcement Learning

https://github.com/zhouhao0605/signal_control_paper

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Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control

https://github.com/zhouzypaul/tiered-reward

공식 코드

Tiered Reward: Designing Rewards for Specification and Fast Learning of Desired Behavior

https://github.com/zhuhl98/acrab

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Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning

https://github.com/zhuliwen/pku_traffic_lights

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Learning to Share in Multi-Agent Reinforcement Learning

https://github.com/zhuliwen/roadnetsz

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MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control

https://github.com/zhuyuanyang/udprl

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Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning

https://github.com/zifanwu/cal

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Off-Policy Primal-Dual Safe Reinforcement Learning

https://github.com/zigned/nuplan_zigned

공식 코드

Reinforced Imitative Trajectory Planning for Urban Automated Driving

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