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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/jhoon-cho/mbtl

공식 코드

Model-Based Transfer Learning for Contextual Reinforcement Learning

https://github.com/jhu-lcsr/good_robot

공식 코드

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

https://github.com/jiamiya/HOPE

공식 코드

HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios

https://github.com/jianda-chen/ambs

공식 코드

Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities

https://github.com/jianda-chen/scr

공식 코드

State Chrono Representation for Enhancing Generalization in Reinforcement Learning

https://github.com/jiang-jc/2d-kse-rl

공식 코드

Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning

https://github.com/jiangnanhugo/cvgp

공식 코드

Racing Control Variable Genetic Programming for Symbolic Regression

https://github.com/jiangnanhugo/vsr-dpg

공식 코드

Vertical Symbolic Regression via Deep Policy Gradient

https://github.com/jianlin-cheng/DRLComplex

공식 코드

DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning

https://github.com/jianshu-hu/drqv2

공식 코드

Revisiting Data Augmentation in Deep Reinforcement Learning

https://github.com/jiaweihhuang/robust-tiered-rl

공식 코드

Robust Knowledge Transfer in Tiered Reinforcement Learning

https://github.com/jiefeng-cse/stable-ddpg-for-voltage-control

공식 코드

Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control

https://github.com/jigangkim/autoreset_rl

공식 코드

Automating Reinforcement Learning with Example-based Resets

https://github.com/jimmyyhwu/learning-dynamic-manipulation

공식 코드

Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower

https://github.com/jimmyyhwu/spatial-intention-maps

공식 코드

Spatial Intention Maps for Multi-Agent Mobile Manipulation

https://github.com/jincate/ccep

공식 코드

Centralized Cooperative Exploration Policy for Continuous Control Tasks

https://github.com/jingwu6/lm_ag

공식 코드

The New Agronomists: Language Models are Experts in Crop Management

https://github.com/jinnnk/tgrf

공식 코드

Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning

https://github.com/jinonoel/blottorl

공식 코드

Reinforcement Learning Agents in Colonel Blotto

https://github.com/jinyangjiangai/quantile-based-policy-optimization

공식 코드

Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms

https://github.com/jity16/when-to-update-your-model-constrained-model-based-reinforcement-learning

공식 코드

When to Update Your Model: Constrained Model-based Reinforcement Learning

https://github.com/jiwanchung/esper

공식 코드

Multimodal Knowledge Alignment with Reinforcement Learning

https://github.com/jjbong/strangeness_exploration

공식 코드

Strangeness-driven Exploration in Multi-Agent Reinforcement Learning

https://github.com/jjzgeeks/FL-DLT3

공식 코드

Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT

https://github.com/jkbjh/cn-ppo-paper-code

공식 코드

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling

https://github.com/jkulhanek/a2cat-vn-pytorch

공식 코드

Vision-based Navigation Using Deep Reinforcement Learning

https://github.com/jkulhanek/dmlab-vn

공식 코드

Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning

https://github.com/jkulhanek/robot-visual-navigation

공식 코드

Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning

https://github.com/jlwu002/bcl

공식 코드

Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum

https://github.com/jlwu002/vsrl

공식 코드

Verified Safe Reinforcement Learning for Neural Network Dynamic Models

https://github.com/joaogui1/Consistent-Website

공식 코드

On the consistency of hyper-parameter selection in value-based deep reinforcement learning

https://github.com/joeljang/rlphf

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Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

https://github.com/joelouismarino/variational_rl

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Iterative Amortized Policy Optimization

https://github.com/joeryjoery/hierq

공식 코드

On Credit Assignment in Hierarchical Reinforcement Learning

https://github.com/joeryjoery/laplace-vrnn

공식 코드

Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks

https://github.com/joeryjoery/trtpi

공식 코드

Trust-Region Twisted Policy Improvement

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