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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/wutad-wjy/charms

공식 코드

CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving

https://github.com/wuyushuwys/lotus

공식 코드

Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices

https://github.com/wwydmanski/RLinWiFi

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Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning

https://github.com/wxy1427/learn-lns-policy

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Learning Large Neighborhood Search Policy for Integer Programming

https://github.com/wyhwhy/Amortized-Variational-DQN

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Amortized Variational Deep Q Network

https://github.com/wzaielamri/hddrl

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Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent

https://github.com/x35f/alpha2

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$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning

https://github.com/xf-shi/Reinforced-GAN

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Generative Market Equilibrium Models with Stable Adversarial Learning via Reinforcement

https://github.com/xiangni/DREAM

공식 코드

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning

https://github.com/xiangyanfei212/RMBench-2022

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RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control

https://github.com/xiaoxiaxusummer/gai_comm

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Generative Artificial Intelligence (GAI) for Mobile Communications: A Diffusion Model Perspective

https://github.com/xingdi-eric-yuan/qait_public

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Interactive Language Learning by Question Answering

https://github.com/xingqiuhe/dpds

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Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach

https://github.com/xinjinghao/color

공식 코드

Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity

https://github.com/xinjinghao/colordynamic

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ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic Environments

https://github.com/xuanlinli17/iclr2021_rlreg

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Regularization Matters in Policy Optimization

https://github.com/xuanlinli17/po-rl-regularization

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Regularization Matters in Policy Optimization

https://github.com/xuxiaoli-seu/SNARM-UAV-Learning

공식 코드

Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning

https://github.com/xxh0523/fcdrl_tscopf

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Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints

https://github.com/xylee95/Spatiotemporal-Attack-On-Deep-RL-Agents

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Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents

https://github.com/xylee95/targeted_adversarial_policies

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Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents

https://github.com/yangjenny/ImbalancedLearningRL

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Deep Reinforcement Learning for Multi-class Imbalanced Training

https://github.com/yangji721/awesome-self-interpretable-neural-network

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A Comprehensive Survey on Self-Interpretable Neural Networks

https://github.com/yangpuPKU/L2SR-Learning-to-Sample-and-Reconstruct

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L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning

https://github.com/yanqidai/igb4mtl

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Improvable Gap Balancing for Multi-Task Learning

https://github.com/yaserkl/RLSeq2Seq

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Deep Reinforcement Learning For Sequence to Sequence Models

https://github.com/yashen998/gates

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

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

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Variational Quantum Circuits for Deep Reinforcement Learning

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

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

https://github.com/yejimun/pas_crowdnav

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Occlusion-Aware Crowd Navigation Using People as Sensors

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

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

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

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Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight

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

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Causal Campbell-Goodhart's law and Reinforcement Learning

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

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Adversarially Guided Actor-Critic

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

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Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork

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