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Deep Reinforcement Learning

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코드

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

https://github.com/hgl71964/cuasmrl

공식 코드

CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning

https://github.com/hhase/sacrum_data-set

공식 코드

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning

https://github.com/hhase/spinal-navigation-rl

공식 코드

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning

https://github.com/hhexiy/opponent

공식 코드

Opponent Modeling in Deep Reinforcement Learning

https://github.com/hiprl/tianji

공식 코드

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies

https://github.com/hiwonjoon/ICML2019-TREX

공식 코드

Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations

https://github.com/hkust-sing/astraea

공식 코드

Towards Fair and Efficient Learning-based Congestion Control

https://github.com/holarissun/rewardshifting

공식 코드

Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping

https://github.com/hongyangdu/semsharing

공식 코드

AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing

https://github.com/hossam-mossalam/multi-objective-deep-rl

공식 코드

Multi-Objective Deep Reinforcement Learning

https://github.com/hp-cao/phy_rl

공식 코드

Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings

https://github.com/hqyyqh888/DDQN_BeamSelection

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Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays

https://github.com/hsinglukliu/puzzle-based_storage_appendix

공식 코드

Reinforcement learning for multi-item retrieval in the puzzle-based storage system

https://github.com/httpwww404notfound/CRIR

공식 코드

Contrastive Representation for Interactive Recommendation

https://github.com/hu-hy17/hoic

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Hand-Object Interaction Controller (HOIC): Deep Reinforcement Learning for Reconstructing Interactions with Physics

https://github.com/huangjuite/radar-navigation

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Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions

https://github.com/huanzhang12/ATLA_robust_RL

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Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

https://github.com/huckiyang/obs-causal-q-network

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Training a Resilient Q-Network against Observational Interference

https://github.com/hukz18/defog

공식 코드

Decision Transformer under Random Frame Dropping

https://github.com/humanandmachinehearing/audiodriven_drl_for_headorientationcontrol

공식 코드

Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments

https://github.com/hupihe/rsd4

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Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning

https://github.com/huskykingdom/dita_acml2023

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Learning to Terminate in Object Navigation

https://github.com/hysonlab/chinese_postman_problem

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Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs

https://github.com/hzwer/ICCV2019-LearningToPaint

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Learning to Paint With Model-based Deep Reinforcement Learning

https://github.com/iamwangyabin/multi-robot-cleaning-task-allocation

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Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning

https://github.com/ianyangchina/a-2-paper-code

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Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning

https://github.com/iasawseen/MultiServerRL

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Artificial Intelligence for Prosthetics - challenge solutions

https://github.com/iassael/tax-evasion-dqn

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Using deep Q-learning to understand the tax evasion behavior of risk-averse firms

https://github.com/ibm/loa

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Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning

https://github.com/icaros-usc/pyribs

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Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing

https://github.com/icml2019-anonymous-author/Action-Robust-Reinforcement-Learning

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Action Robust Reinforcement Learning and Applications in Continuous Control

https://github.com/idea-iitd/GCOMB

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Learning Heuristics over Large Graphs via Deep Reinforcement Learning

https://github.com/igfox/AdvantageOfDoubling

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The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA

https://github.com/ignc-research/arena-rosnav

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Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems

https://github.com/ignc-research/ir-drl

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Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation

https://github.com/ignc-research/navsafe-arena

공식 코드

Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation

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