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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/alan-turing-institute/Entity-Based-Yawning-Titan

공식 코드

Entity-based Reinforcement Learning for Autonomous Cyber Defence

https://github.com/alan-turing-institute/cage-challenge-2-public

공식 코드

Autonomous Network Defence using Reinforcement Learning

https://github.com/albertometelli/pfqi

공식 코드

Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning

https://github.com/aleedelarica/XDRL-for-finance

공식 코드

Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent

https://github.com/aleksispi/pose-drl

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Deep Reinforcement Learning for Active Human Pose Estimation

https://github.com/alevine0/reengage

공식 코드

Goal-Conditioned Q-Learning as Knowledge Distillation

https://github.com/alex-petrenko/sample-factory

공식 코드

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

https://github.com/alex-vasilache/spike-encoding

공식 코드

A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications

https://github.com/alex-yanranwang/awavo

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Probabilistic Constrained Reinforcement Learning with Formal Interpretability

https://github.com/alexfrom0815/Online-3D-BPP-DRL

공식 코드

Online 3D Bin Packing with Constrained Deep Reinforcement Learning

https://github.com/alexgoldie/rl-learned-optimization

공식 코드

Can Learned Optimization Make Reinforcement Learning Less Difficult?

https://github.com/alexis-allemann/OpenNMT-py

공식 코드

Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning

https://github.com/alexlee-gk/citysim3d

공식 코드

Learning Visual Servoing with Deep Features and Fitted Q-Iteration

https://github.com/alexlee-gk/visual_dynamics

공식 코드

Learning Visual Servoing with Deep Features and Fitted Q-Iteration

https://github.com/alexlioralexli/learned-fourier-features

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Functional Regularization for Reinforcement Learning via Learned Fourier Features

https://github.com/alexpiche/fr-tmlr

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Bridging the Gap Between Target Networks and Functional Regularization

https://github.com/alexsax/midlevel-reps

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Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

https://github.com/alfredvc/paac

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Efficient Parallel Methods for Deep Reinforcement Learning

https://github.com/algoprog/InteRank

공식 코드

Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking

https://github.com/alibeikmohammadi/compfedrl

공식 코드

Compressed Federated Reinforcement Learning with a Generative Model

https://github.com/alibeikmohammadi/opennars-for-applications

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NARS vs. Reinforcement learning: ONA vs. Q-Learning

https://github.com/alirezashamsoshoara/inverse-rl-apprenticeship-learning-uav-communication

공식 코드

Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning

https://github.com/allenai/ai2thor

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AI2-THOR: An Interactive 3D Environment for Visual AI

https://github.com/allenai/disturb-free

공식 코드

Towards Disturbance-Free Visual Mobile Manipulation

https://github.com/allenai/savn

공식 코드

Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning

https://github.com/aloriosa/srmt

공식 코드

SRMT: Shared Memory for Multi-agent Lifelong Pathfinding

https://github.com/alpaficia/MOSEAC

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MOSEAC: Streamlined Variable Time Step Reinforcement Learning

https://github.com/alpaficia/SEAC_Pytorch_release

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Deployable Reinforcement Learning with Variable Control Rate

https://github.com/alpc91/sgrl

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Subequivariant Graph Reinforcement Learning in 3D Environments

https://github.com/alshedivat/lola

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Learning with Opponent-Learning Awareness

https://github.com/alstn12088/lcp

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Learning Collaborative Policies to Solve NP-hard Routing Problems

https://github.com/alstn12088/sym-nco

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Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

https://github.com/amal994/experiential-explanations-rl

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Experiential Explanations for Reinforcement Learning

https://github.com/amartyamukherjee/ReinforcementLearningCartPosition

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A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem

https://github.com/amathislab/lattice

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Latent Exploration for Reinforcement Learning

https://github.com/amazon-research/cdc-batch-rl

공식 코드

Continuous Doubly Constrained Batch Reinforcement Learning

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