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Deep Reinforcement Learning

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코드

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

https://github.com/nicolinho/acc

공식 코드

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

https://github.com/nikonikolov/rltf

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Information-Directed Exploration for Deep Reinforcement Learning

https://github.com/nikzadkhani/famished-geese

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An Exploration of Deep Learning Methods in Hungry Geese

https://github.com/njustesen/a2c_gvgai

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Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation

https://github.com/noc-lab/sac-expert

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A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations

https://github.com/noesyslab/drl_ris_tutorial

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Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

https://github.com/nokpil/SocialNet

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Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning

https://github.com/npapadis/payment-channel-rebalancing

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Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks

https://github.com/npaulinastevia/drl_se

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A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks

https://github.com/nplawrence/stablebehavior.jl

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Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior

https://github.com/ntienvu/BOIL

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Bayesian Optimization for Iterative Learning

https://github.com/ntienvu/KnownOptimum_BO

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Knowing The What But Not The Where in Bayesian Optimization

https://github.com/ntu-icg/ams-drl-for-pursuit-evasion

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Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones

https://github.com/ntu-uavg/ams-drl-for-pursuit-evasion

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Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones

https://github.com/ntu-uavg/collaborative-target-search-vision-drone-swarm

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Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach

https://github.com/ntu-uavg/cts-visual-drone-swarm

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Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach

https://github.com/nubot-nudt/SG-D3QN

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Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning

https://github.com/nzolman/sindy-rl

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SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

https://github.com/o-ran-sc/sim-ns3-o-ran-e2

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Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures

https://github.com/ocram17/treenhance

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TreEnhance: A Tree Search Method For Low-Light Image Enhancement

https://github.com/oist-cnru/Variational-Recurrent-Models

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Variational Recurrent Models for Solving Partially Observable Control Tasks

https://github.com/omarshindi/model-free-quantum-gate-design-and-calibration-using-deep-reinforcement-learning

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Model-free Quantum Gate Design and Calibration using Deep Reinforcement Learning

https://github.com/omron-sinicx/action-constrained-rl-benchmark

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Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints

https://github.com/omron-sinicx/symmetry-aware-pomdp

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Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist

https://github.com/onizukalab/spatial-data-partitioning-using-drl

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Learned spatial data partitioning

https://github.com/openai/baselines

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Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

https://github.com/openai/coinrun

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Quantifying Generalization in Reinforcement Learning

https://github.com/openai/multiagent-particle-envs

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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

https://github.com/openai/procgen

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Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

https://github.com/openai/random-network-distillation

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Exploration by Random Network Distillation

https://github.com/ori-drs/lfmc_cval

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Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion

https://github.com/ori-drs/lfmc_gym

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Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion

https://github.com/ori-drs/lfmc_pyval

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Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion

https://github.com/oscarhuangwind/drl-transformer-simtoreal-navigation

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Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

https://github.com/osh/kerlym

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Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent

https://github.com/osrlpaper/os_rl_papercode

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Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering

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