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Deep Reinforcement Learning

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

https://github.com/ai4finance-foundation/finrl-meta

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FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance

https://github.com/ailabspace/drl-based-mapless-crowd-navigation-with-perceived-risk

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Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots

https://github.com/aimagelab/focus-on-impact

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Focus on Impact: Indoor Exploration with Intrinsic Motivation

https://github.com/ais-clemson/drl-bems

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Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach

https://github.com/ait-lab/ggtde

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Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning

https://github.com/aizazsharif/benchmarking-qrs-2022

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Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment

https://github.com/aj-correa/unraveling-the-rainbow

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Unraveling the Rainbow: can value-based methods schedule?

https://github.com/akjayant/mbppol

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Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

https://github.com/alaaselim-sudo/-rllib-impala

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Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach

https://github.com/aladoro/stabilizing-off-policy-rl

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Stabilizing Off-Policy Deep Reinforcement Learning from Pixels

https://github.com/alaineman/drlcarsim-paper

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Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers

https://github.com/alan-turing-institute/Entity-Based-Yawning-Titan

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Entity-based Reinforcement Learning for Autonomous Cyber Defence

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

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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/alexfrom0815/Online-3D-BPP-DRL

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Online 3D Bin Packing with Constrained Deep Reinforcement Learning

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

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Learning Visual Servoing with Deep Features and Fitted Q-Iteration

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

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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/alfredvc/paac

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Efficient Parallel Methods for Deep Reinforcement Learning

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

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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

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Towards Disturbance-Free Visual Mobile Manipulation

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/amazon-research/fast-rl-with-slow-updates

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Faster Deep Reinforcement Learning with Slower Online Network

https://github.com/amendb/HeterogeneousTrashCleanup

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Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning

https://github.com/americast/DRL_HVAC

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Co-designing Intelligent Control of Building HVACs and Microgrids

https://github.com/ameyapores/dvc

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Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study

https://github.com/amir-abdi/artisynth_point2point

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Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning

https://github.com/amir-samadi/counterfactual-explanation

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Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation

https://github.com/amir-samadi/safe-rl

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SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies

https://github.com/amirhosseinzlf/smarla

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SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents

https://github.com/amirhosseinzlf/starla

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A Search-Based Testing Approach for Deep Reinforcement Learning Agents

https://github.com/ammar-n-abbas/CoL-SDRPRL

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Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces

https://github.com/ammar-n-abbas/drl-based-decision-support

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Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.