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Reinforcement Learning (RL)

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보존된 평가 기록: 3

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

코드

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

https://github.com/leozhengzly/stackelberg-actor-critic-algos

공식 코드

Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms

https://github.com/lephong/diffmetric_coref

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Optimizing Differentiable Relaxations of Coreference Evaluation Metrics

https://github.com/lethanh-96/tinyqmix-mtc

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TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning

https://github.com/lewisKit/Kernel-Bellman-Loss

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A Kernel Loss for Solving the Bellman Equation

https://github.com/lexeree/normative-player-characters

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Reinforcement Learning Guided by Provable Normative Compliance

https://github.com/leyuanheart/seal

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Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons

https://github.com/lfd/quantum-rl

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Uncovering Instabilities in Variational-Quantum Deep Q-Networks

https://github.com/lfd/rl_for_jo

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Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation

https://github.com/lfrison/i4b

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Constrained Reinforcement Learning for Safe Heat Pump Control

https://github.com/lgraesser/MultimodalGame

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Emergent Linguistic Phenomena in Multi-Agent Communication Games

https://github.com/lguerdan/icml24_predictive_performance_comparison_dps

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Predictive Performance Comparison of Decision Policies Under Confounding

https://github.com/li-yun/battery_fr_rl

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Deep Learning-based Predictive Control of Battery Management for Frequency Regulation

https://github.com/liamhebert/FedFormer

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FedFormer: Contextual Federation with Attention in Reinforcement Learning

https://github.com/liamreneroy/rl_audio

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Learning to Communicate Functional States with Nonverbal Expressions for Improved Human-Robot Collaboration

https://github.com/liangchunyaobing/rcm-airl

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A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards

https://github.com/liangxinedu/MDAM

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Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

https://github.com/liangzhang1996/attentionlight

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Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization

https://github.com/liangzhang1996/dynamiclight

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DynamicLight: Two-Stage Dynamic Traffic Signal Timing

https://github.com/liangzhang1996/efficient_xlight

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Efficient Pressure: Improving efficiency for signalized intersections

https://github.com/liaomengqi/e3-rl4llms

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Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs

https://github.com/libgoncalv/sharpie

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SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments

https://github.com/lifelong-learning-systems/l2explorer

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L2Explorer: A Lifelong Reinforcement Learning Assessment Environment

https://github.com/lifelong-ml/composuite

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CompoSuite: A Compositional Reinforcement Learning Benchmark

https://github.com/lifelong-ml/elirl

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Lifelong Inverse Reinforcement Learning

https://github.com/lifelong-ml/mendez2022modularlifelongrl

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Modular Lifelong Reinforcement Learning via Neural Composition

https://github.com/lifelong-ml/offline-compositional-rl-datasets

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Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning

https://github.com/ligerfotis/M2CURL

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M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation

https://github.com/lil-lab/drif

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Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight

https://github.com/lil-shake/coca

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Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning

https://github.com/lilanpei/Continual-Policy-Distillation-for-Soft-Robotic

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Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation

https://github.com/lili-chen/SEER

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Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

https://github.com/lilucse/Normalization-Enhances-Generalization-in-Visual-Reinforcement-Learning

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Normalization Enhances Generalization in Visual Reinforcement Learning

https://github.com/lily-x/combinatorial-rmab

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Reinforcement learning with combinatorial actions for coupled restless bandits

https://github.com/lily-x/mirror

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Robust Reinforcement Learning Under Minimax Regret for Green Security

https://github.com/limengbinggz/cusum-rl

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Testing Stationarity and Change Point Detection in Reinforcement Learning

https://github.com/limmen/csle

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Learning Security Strategies through Game Play and Optimal Stopping

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