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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/oxwhirl/treeqn

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TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning

https://github.com/pagand/eco-light

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Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions

https://github.com/paintception/Deep-Quality-Value-Family-

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Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms

https://github.com/panayiotisd/fisher-market

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AI-driven Prices for Externalities and Sustainability in Production Markets

https://github.com/paopaolin/papercode/tree/main/MENGGUANLIN_papercode/combine%20V1

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Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments

https://github.com/paperflight/Hierarchical-Multi-agent-DRL-with-Federated-Learning

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Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement Learning Approach

https://github.com/pascalson/kgrl

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Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning

https://github.com/patrickhshs/cm-dqn

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CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation Bias

https://github.com/paulo-al-castro/mt5se

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mt5se: An Open Source Framework for Building Autonomous Trading Robots

https://github.com/paulorocosta/ai-for-tsp-competition

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The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems

https://github.com/paulorocosta/learning-2opt-drl

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Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning

https://github.com/peggy4444/soccer_rl

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Towards optimized actions in critical situations of soccer games with deep reinforcement learning

https://github.com/pemami4911/deep-rl

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Deep Reinforcement Learning with Feedback-based Exploration

https://github.com/pendu/containergym

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ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation

https://github.com/pengguo318/RoutingProblemGANN

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Solve routing problems with a residual edge-graph attention neural network

https://github.com/penglingwei/generative-actor-critic

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Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model

https://github.com/pengyang7881187/sicmdp-new

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Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning

https://github.com/personnoname/fgeodrl

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FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning

https://github.com/peteanderson80/Matterport3DSimulator

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Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

https://github.com/petrosgk/AudioRL

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A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment

https://github.com/peymantehrani/fdrl-pc-dyspan

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Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks

https://github.com/pfnet-research/errr

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Experience Replay with Random Reshuffling

https://github.com/phate09/safedrl

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Verified Probabilistic Policies for Deep Reinforcement Learning

https://github.com/pic4ser/pic4rl_gym

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PIC4rl-gym: a ROS2 modular framework for Robots Autonomous Navigation with Deep Reinforcement Learning

https://github.com/pietro-talli/tmlcn_code

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Effective Communication with Dynamic Feature Compression

https://github.com/pittcps/rl-parking

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Energy-Efficient Parking Analytics System using Deep Reinforcement Learning

https://github.com/pkiourti/rl_backdoor

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TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents

https://github.com/pladosz/MOHQA

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Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture

https://github.com/plibin-vub/epi-rl

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Deep reinforcement learning for large-scale epidemic control

https://github.com/pokaxpoka/netrand

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Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

https://github.com/pokaxpoka/sunrise

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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

https://github.com/prabhatnagarajan/repro_dqn

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Deterministic Implementations for Reproducibility in Deep Reinforcement Learning

https://github.com/pranabiitp/fedmrl

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FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

https://github.com/praveen-palanisamy/macad-gym

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Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning

https://github.com/prishita123/curriculum_rl_for_driving

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Improving Environment Robustness of Deep Reinforcement Learning Approaches for Autonomous Racing Using Bayesian Optimization-based Curriculum Learning

https://github.com/priyankamandikal/graff

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Learning Dexterous Grasping with Object-Centric Visual Affordances

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