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Reinforcement Learning

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

https://github.com/PierreExeter/WidowX-reacher

공식 코드

Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks

https://github.com/PierreExeter/rl_reach

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rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks

https://github.com/PrajwalKoirala/LSPC-Safe-Offline-RL

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Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning

https://github.com/PrajwalKoirala/Offline-Reinforcement-Learning-with-Decision-Tree-Regression

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Solving Offline Reinforcement Learning with Decision Tree Regression

https://github.com/ProSeCo-Planning/ros_proseco_planning/tree/main/python/proseco/inverse_reinforcement_learning

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Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search

https://github.com/PwnerHarry/META

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META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation

https://github.com/PwnerHarry/MTA

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META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation

https://github.com/QianrenLi/ReinWiFi

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ReinWiFi: Application-Layer QoS Optimization of WiFi Networks with Reinforcement Learning

https://github.com/QingyuanWuNothing/DFBT

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Directly Forecasting Belief for Reinforcement Learning with Delays

https://github.com/QueensGambit/CrazyAra

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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data

https://github.com/QueensGambit/CrazyAra-Engine

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Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data

https://github.com/Quiltomics/NLERL

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Modeling natural language emergence with integral transform theory and reinforcement learning

https://github.com/R-Sweke/DeepQ-Decoding

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Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation

https://github.com/RL-MLDM/alphagen

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Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning

https://github.com/RL-WFU/Drone_field

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Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments

https://github.com/RLE-Foundation/rllte

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RLLTE: Long-Term Evolution Project of Reinforcement Learning

https://github.com/RLGC-Project/RLGC

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Adaptive Power System Emergency Control using Deep Reinforcement Learning

https://github.com/Rainlabuw/rl-enabled-distributed-assignment

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Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems

https://github.com/Rajesh-Siraskar/Reinforcement-Learning-for-Control-of-Valves

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Reinforcement Learning for Control of Valves

https://github.com/RamnathKumar181/Adversarial-Learning-Dynamics-in-RL

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Boosting Exploration in Multi-Task Reinforcement Learning using Adversarial Networks

https://github.com/Rhoban/footstepnet_envs

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FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal Footstep Planning and Forecasting

https://github.com/Rich-King395/Path-Planning-based-on-Reinforcement-Learning

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Research on Robot Path Planning Based on Reinforcement Learning

https://github.com/RingBDStack/AR-DBSCAN

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Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning

https://github.com/RobertTLange/action-grammars-hrl

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Semantic RL with Action Grammars: Data-Efficient Learning of Hierarchical Task Abstractions

https://github.com/Robinroy-peter/DRL-DynamicDroneLanding

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Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings

https://github.com/RobustFieldAutonomyLab/DRL_graph_exploration

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Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

https://github.com/RobustStabilityGuaranteeRL/RobustStabilityGuaranteeRL

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$H_\infty$ Model-free Reinforcement Learning with Robust Stability Guarantee

https://github.com/RockySJ/ampo

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Model-based Policy Optimization with Unsupervised Model Adaptation

https://github.com/RodrigoToroIcarte/reward_machines

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Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning

https://github.com/RomainLaroche/SPIBB

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Safe Policy Improvement with Baseline Bootstrapping

https://github.com/RonanFR/UCRL

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Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

https://github.com/RunzheYang/MORL

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A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

https://github.com/RuohanW/RED

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Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation

https://github.com/RussellTNY/PPO-optimized-Tab-Transformer-for-NIDS-on-TON_IoT

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A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT Systems

https://github.com/RyanHaoranLi/CAR-RL

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Towards Optimal Adversarial Robust Reinforcement Learning with Infinity Measurement Error

https://github.com/RyanNavillus/Syllabus

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Syllabus: Portable Curricula for Reinforcement Learning Agents

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