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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/google-research/rliable

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Deep Reinforcement Learning at the Edge of the Statistical Precipice

https://github.com/google-research/robopianist

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RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning

https://github.com/google-research/tf-opt

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Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing

https://github.com/google-research/valan

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VALAN: Vision and Language Agent Navigation

https://github.com/google/dopamine

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Deep Reinforcement Learning

https://github.com/gp1g/fedaa

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FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning

https://github.com/gpdwatkins/graph_colouring_with_RL

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Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks

https://github.com/gracefulning/mec_morl_multipolicy

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Multi-objective Deep Reinforcement Learning for Mobile Edge Computing

https://github.com/greydanus/visualize_atari

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Visualizing and Understanding Atari Agents

https://github.com/grimmlab/drl4procsyn

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Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge

https://github.com/grockious/deepsynth

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DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

https://github.com/guetye/dhrl-fnmr

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DHRL-FNMR: An Intelligent Multicast Routing Approach Based on Deep Hierarchical Reinforcement Learning in SDN

https://github.com/guetye/drl-pponsa

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An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning

https://github.com/gundoganalperen/DIRAL

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Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication

https://github.com/guojm14/ESPL

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Efficient Symbolic Policy Learning with Differentiable Symbolic Expression

https://github.com/guojyjy/avars

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AVARS -- Alleviating Unexpected Urban Road Traffic Congestion using UAVs

https://github.com/guojyjy/cotv

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CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning

https://github.com/guolingbing/rlea

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Deep Reinforcement Learning for Entity Alignment

https://github.com/haarnoja/sac

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Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/haarnoja/softqlearning

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Composable Deep Reinforcement Learning for Robotic Manipulation

https://github.com/haidiazaman/rl-concept-learning-project

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Compositional Learning of Visually-Grounded Concepts Using Reinforcement

https://github.com/hamidthri/navbot_ppo

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Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation

https://github.com/han-adam/generalanalyze

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Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System

https://github.com/hanlinniu/turtlebot3_ddpg_collision_avoidance

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Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player

https://github.com/hannasw/ml4passportoptions

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Machine Learning-powered Pricing of the Multidimensional Passport Option

https://github.com/haozhougt/signal_control_paper

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Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control

https://github.com/harfang3d/dogfight-sandbox-hg2

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Harfang3D Dog-Fight Sandbox: A Reinforcement Learning Research Platform for the Customized Control Tasks of Fighter Aircrafts

https://github.com/hariharan20/mldenv

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Learning Manipulation Tasks in Dynamic and Shared 3D Spaces

https://github.com/harvard-edge/airlearning

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Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation

https://github.com/harvard-edge/quarl

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QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning

https://github.com/hbayerlein/uav_data_harvesting

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UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

https://github.com/hcdm/xrec

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Rethinking Conversational Recommendations: Is Decision Tree All You Need?

https://github.com/heasung-kim/safe-rl-deployment-for-5g

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Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach

https://github.com/heitzjon/mt-join-query-optimization-with-drl

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Join Query Optimization with Deep Reinforcement Learning Algorithms

https://github.com/henry-yeh/DeepACO

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DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

https://github.com/herolab-uga/bsac

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Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning

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