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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/pankayaraj/RLHFPoisoning

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Is poisoning a real threat to LLM alignment? Maybe more so than you think

https://github.com/panmt/mbrl_with_isolated_imaginations

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Model-Based Reinforcement Learning with Isolated Imaginations

https://github.com/panmt/vid2act

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Model-Based Reinforcement Learning with Multi-Task Offline Pretraining

https://github.com/panshark/pirl-win

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Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning

https://github.com/panxulab/lsvi-ase

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More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling

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/papercode2022/hill

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Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs

https://github.com/paperflight/Fed-MF-MAL

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Scalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks

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/paperwithcode/pop3d

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Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization

https://github.com/parshakova/GAMS-for-Data-Efficient-Learning

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Distributional Reinforcement Learning for Energy-Based Sequential Models

https://github.com/parskatt/dad

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DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection

https://github.com/pascalson/kgrl

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

https://github.com/paschalidoud/superquadric_parsing

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Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids

https://github.com/pat-jj/deepretrieval

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DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

https://github.com/pathak22/exploration-by-disagreement

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Self-Supervised Exploration via Disagreement

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/pbontrager/GenerativePlayingNetworks

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Learning to Generate Levels From Nothing

https://github.com/pclucas14/adaptive-quantization-modules

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Online Learned Continual Compression with Adaptive Quantization Modules

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/pehlevan-group/td-rl-dynamics

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Loss Dynamics of Temporal Difference Reinforcement Learning

https://github.com/peidehuang/gradient

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Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

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/fedrl

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Federated Reinforcement Learning with Environment Heterogeneity

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

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Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning

https://github.com/pengyanghua/DL2

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DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters

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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Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

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/petrosgk/sed_rl_post_processing

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Improving Post-Processing of Audio Event Detectors Using Reinforcement Learning

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