Papers with Code 아카이브
Reinforcement Learning (RL)
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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/wyshi/user-simulator
공식 코드How to Build User Simulators to Train RL-based Dialog Systems
https://github.com/wywywang/coachai-projects
공식 코드A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)
https://github.com/wyy0206/THzVR
공식 코드Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks
https://github.com/wzaielamri/hddrl
공식 코드https://github.com/wzmsltw/painttransformer
공식 코드Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
https://github.com/x-zheng16/imap
공식 코드Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
https://github.com/xavierchanglingli/regularized-optimal-experience-replay
공식 코드https://github.com/xfgao/VRKitchen
공식 코드VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
https://github.com/xiangni/DREAM
공식 코드Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
https://github.com/xiangyanfei212/RMBench-2022
공식 코드RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control
https://github.com/xiangyu-peng/hex-rl
공식 코드Inherently Explainable Reinforcement Learning in Natural Language
https://github.com/xiangyuan-zhang/controlgym
공식 코드Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
https://github.com/xiaomi-research/r1-aqa
공식 코드Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering
https://github.com/xiaoqian19940510/TASLP-EAREE
공식 코드Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
https://github.com/xiaoyinliu0714/micro
공식 코드MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator
https://github.com/xicocaio/its-sentarl
공식 코드Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach
https://github.com/xid32/soundmind
공식 코드SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models
https://github.com/xingcheg/rl-hmm
공식 코드HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
https://github.com/xingchenwan/bgpbt
공식 코드https://github.com/xingqiuhe/dpds
공식 코드Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach
https://github.com/xingruiyu/GIRIL
공식 코드Intrinsic Reward Driven Imitation Learning via Generative Model
https://github.com/xingshuaihuang/dtlight
공식 코드Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach
https://github.com/xingyuzhou989/privatetabularrl
공식 코드Differentially Private Regret Minimization in Episodic Markov Decision Processes
https://github.com/xinshi-chen/GenerativeAdversarialUserModel
공식 코드Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
https://github.com/xionghuichen/sim2rec
공식 코드https://github.com/xizeroplus/marl-embedding
공식 코드Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning
https://github.com/xkianteb/ApproPO
공식 코드https://github.com/xlang-ai/text2reward
공식 코드Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
https://github.com/xtji/cex-guided-rl
공식 코드Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version)
https://github.com/xuanlinli17/corl_22_frame_mining
공식 코드Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
https://github.com/xuanlinli17/iclr2021_rlreg
공식 코드https://github.com/xuanlinli17/po-rl-regularization
공식 코드https://github.com/xuefeng-cs/a3rl
공식 코드Active Advantage-Aligned Online Reinforcement Learning with Offline Data
https://github.com/xuewyang/Fashion_Captioning
공식 코드Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
https://github.com/xujiahuayz/auto-gov
공식 코드Auto.gov: Learning-based Governance for Decentralized Finance (DeFi)
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