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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/machine-teaching-group/ijcai2024-proximal-curriculum-target-rl

공식 코드

Proximal Curriculum with Task Correlations for Deep Reinforcement Learning

https://github.com/machine-teaching-group/tmlr2023_proximal-curriculum-rl

공식 코드

Proximal Curriculum for Reinforcement Learning Agents

https://github.com/mafi412/evolution-strategies-and-decision-transformers

공식 코드

Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning

https://github.com/magiasn/acl2024_rllr

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Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding

https://github.com/mahaitongdae/Feasible-Actor-Critic

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Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety

https://github.com/mahaitongdae/Reachability_Constrained_RL

공식 코드

Reachability Constrained Reinforcement Learning

https://github.com/mahaitongdae/safe_exp_env

공식 코드

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

https://github.com/mahaozhe/cenra

공식 코드

Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning

https://github.com/mahossam/OptiGAN

공식 코드

OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation

https://github.com/mail-ecnu/vmagent

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VMAgent: Scheduling Simulator for Reinforcement Learning

https://github.com/malayandi/DemPrefCode

공식 코드

Learning Reward Functions by Integrating Human Demonstrations and Preferences

https://github.com/malhotra-sidharth/game-of-ur-reinforcement-learning

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Solving Royal Game of Ur Using Reinforcement Learning

https://github.com/malteschilling/ddrl_hexapod

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Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot

https://github.com/mamba413/room

공식 코드

Robust Offline Reinforcement learning with Heavy-Tailed Rewards

https://github.com/mandareln/deep-q-learning-adversarial

공식 코드

Deep Q learning for fooling neural networks

https://github.com/manish-pra/non-additive-rl

공식 코드

Submodular Reinforcement Learning

https://github.com/manluow/ev-simulator

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Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach

https://github.com/manome/python-mab

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Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted Averages

https://github.com/mansicer/Q-Adapter

공식 코드

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation

https://github.com/manueleberhardinger/ec-rl

공식 코드

Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments

https://github.com/manueleberhardinger/unveiling-rl-with-gp

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Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming

https://github.com/maohangyu/TIT_open_source

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Transformer in Transformer as Backbone for Deep Reinforcement Learning

https://github.com/maohangyu/pdit

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PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning

https://github.com/maoubo/unidoor

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UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning

https://github.com/maoxiaowei97/drl4route

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DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction

https://github.com/maoxiaowei97/dutytte

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DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

https://github.com/maoyixiu/dmg

공식 코드

Doubly Mild Generalization for Offline Reinforcement Learning

https://github.com/marc-rigter/rambo

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RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning

https://github.com/marcelbinz/resource-rational-reinforcement-learning

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Modeling Human Exploration Through Resource-Rational Reinforcement Learning

https://github.com/marcometer/endless-memory-gym

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Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents

https://github.com/marcovona99/four-roll-mill-rl

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Stabilising viscous extensional flows using Reinforcement Learning

https://github.com/marcschlichting/lstmspatialencoding

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Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning

https://github.com/marekpetrik/craam2

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Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs

https://github.com/marikoisogawa/OpticalNLOSPose

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Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation

https://github.com/marina-sp/reinform

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ReInform: Selecting paths with reinforcement learning for contextualized link prediction

https://github.com/mario-holubar/RacingRL

공식 코드

Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO

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