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Deep Reinforcement Learning

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

https://github.com/ZikangXiong/rl-detect-and-denoise-defense

공식 코드

Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising

https://github.com/a2r-lab/diffcompressdrl

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Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning

https://github.com/aangelopoulos/conformal-prediction

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A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

https://github.com/aavek/aeolus-ocean

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Aeolus Ocean -- A simulation environment for the autonomous COLREG-compliant navigation of Unmanned Surface Vehicles using Deep Reinforcement Learning and Maritime Object Detection

https://github.com/abhi460729/Action-Duration-with-Contextual-Bandits-for-Deep-Reinforcement-Learning-in-Dynamic-Environments

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Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments

https://github.com/abhi460729/GATN

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Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains

https://github.com/abhiksingla/UAV_obstacle_avoidance_controller

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Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge

https://github.com/abirilab/aras

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Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space

https://github.com/abubakar-sani/jam_shield_v2_0

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Defeating Proactive Jammers Using Deep Reinforcement Learning for Resource-Constrained IoT Networks

https://github.com/abukharin3/heron

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Deep Reinforcement Learning from Hierarchical Preference Design

https://github.com/ac-93/braille_RL

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Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard

https://github.com/ac-93/tactile_gym

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Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation

https://github.com/ac-sh/interq

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InterQ: A DQN Framework for Optimal Intermittent Control

https://github.com/accgen99/marl_ipp

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Scalable Multi-Robot Informative Path Planning for Target Mapping via Deep Reinforcement Learning

https://github.com/acoache/rl-elicitabledynamicrisk

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Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

https://github.com/ada-research/combined_hpo_and_reward_shaping

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Combining Automated Optimisation of Hyperparameters and Reward Shape

https://github.com/adaptive-intelligent-robotics/dcg-map-elites

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MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy

https://github.com/adaptive-intelligent-robotics/pga-map-elites

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Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

https://github.com/adaptive-intelligent-robotics/qdac

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Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics

https://github.com/adipandas/gym_multirotor

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Robust Deep Reinforcement Learning for Quadcopter Control

https://github.com/adityab/crossq

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CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

https://github.com/adrienbolland/jointly-learning-environments-and-control-policies-with-projected-stochastic-gradient-ascent

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Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent

https://github.com/agakshat/spacefortress

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Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark

https://github.com/agi-brain/cee

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Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation

https://github.com/agi-brain/xuance

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XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

https://github.com/ahmadnagib/SARL-RRM

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Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks

https://github.com/ahmadnagib/tl-aided-drl

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Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach

https://github.com/ahmd-mohsin/Spectrum-Sharing-Hierarchical-DRL

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Hierarchical Deep Reinforcement Learning for Adaptive Resource Management in Integrated Terrestrial and Non-Terrestrial Networks

https://github.com/ahmedhajyahmed/drdrl

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An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems

https://github.com/aholliday/transit_learning

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Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning

https://github.com/ai-for-decision-making-tue/drl-guided-picker-optimization

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Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking

https://github.com/ai-initiative-kaust/videorlcs

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Learning to Identify Critical States for Reinforcement Learning from Videos

https://github.com/ai-lab-science/deep-reinforcement-learning-for-mapless-navigation-in-intralogistics

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Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics

https://github.com/ai4ce/SNAC

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Simultaneous Navigation and Construction Benchmarking Environments

https://github.com/ai4co/rl4co

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RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

https://github.com/ai4finance-foundation/elegantrl

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ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning

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