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Reinforcement Learning (RL)

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하위 태스크: 6
평가표: 2
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/yunqiuxu/qwa

공식 코드

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games

https://github.com/yunzhe-zhou/markov_test

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Statistical Inference in Reinforcement Learning: A Selective Survey

https://github.com/yunzhusong/AAAI20-PORLHG

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Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation

https://github.com/yuqi-zhou/gui-g1

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GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

https://github.com/yuqingd/ellm

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Guiding Pretraining in Reinforcement Learning with Large Language Models

https://github.com/yusx-swapp/gnn-rl-model-compression

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Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning

https://github.com/yxb-nku/se-gui

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Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning

https://github.com/yycdavid/program-synthesis-guided-rl

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Program Synthesis Guided Reinforcement Learning for Partially Observed Environments

https://github.com/yydsok/oparl

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Efficient Reinforcement Learning via Decoupling Exploration and Utilization

https://github.com/yyht/openrlhf_async_pipline

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Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

https://github.com/yyzhangecnu/copp

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Conformal Off-policy Prediction

https://github.com/yzhao3685/pricing-evaluation

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Balanced Off-Policy Evaluation for Personalized Pricing

https://github.com/yzlc080733/bmvc2022_svpg

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Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks

https://github.com/yzpang/gold-off-policy-text-gen-iclr21

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Text Generation by Learning from Demonstrations

https://github.com/z-t-wang/phdthesis

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Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning

https://github.com/zafarali/emdp

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Understanding the impact of entropy on policy optimization

https://github.com/zahradbozorgi/whentotreat

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Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning

https://github.com/zahrag/BRLVBVC

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A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control

https://github.com/zaiyan-x/RFQI

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Robust Reinforcement Learning using Offline Data

https://github.com/zaiyan-x/RPVL

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Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning

https://github.com/zaiyan-x/drqi

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Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage

https://github.com/zakuta/rl-rqaoa-paper-code

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Reinforcement Learning Assisted Recursive QAOA

https://github.com/zal/simenvbenchmark

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Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning

https://github.com/zanette-labs/speed-rl

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SPEED-RL: Faster Training of Reasoning Models via Online Curriculum Learning

https://github.com/zangir/svrp

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Reinforcement Learning for Solving Stochastic Vehicle Routing Problem

https://github.com/zawagner22/cross-entropy-for-combinatorics

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Constructions in combinatorics via neural networks

https://github.com/zaza0209/dirl

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Doubly Inhomogeneous Reinforcement Learning

https://github.com/zbzhu99/madiff

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MADiff: Offline Multi-agent Learning with Diffusion Models

https://github.com/zcaicaros/l2s

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Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling

https://github.com/zcajiayin/L2D

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Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

https://github.com/zcchenvy/CIL-DDQN

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Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

https://github.com/zchuning/latco

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Model-Based Reinforcement Learning via Latent-Space Collocation

https://github.com/zd11024/entity_questioner

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Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser

https://github.com/zdchu/metacrs

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Meta Policy Learning for Cold-Start Conversational Recommendation

https://github.com/zdhnarsil/stochastic-marginal-actor-critic

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Latent State Marginalization as a Low-cost Approach for Improving Exploration

https://github.com/zdou0830/crosslingual_summarization_semantic

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A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards

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