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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/KohlerHECTOR/interpreter-py

공식 코드

Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning

https://github.com/KyunghyunLee/aes-rl

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An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search

https://github.com/LCAS/deep_rl_for_swarms

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Deep Reinforcement Learning for Swarm Systems

https://github.com/LTL2Action/LTL2Action

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LTL2Action: Generalizing LTL Instructions for Multi-Task RL

https://github.com/LeaMarion/quantum-enhanceable-deep-rl

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Quantum enhancements for deep reinforcement learning in large spaces

https://github.com/Learning4Optimization-HUST/H-TSP

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H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem

https://github.com/Learning4Optimization-HUST/Pointerformer

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Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem

https://github.com/Lei-Kun/Uni-O4

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Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization

https://github.com/Lhongpei/ipps-drl

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Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning

https://github.com/LiQisResearch/KDD--RF-MA3S

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Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning

https://github.com/LinghengMeng/LSTM-TD3

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Memory-based Deep Reinforcement Learning for POMDPs

https://github.com/LunjunZhang/world-model-as-a-graph

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World Model as a Graph: Learning Latent Landmarks for Planning

https://github.com/MAS-anony/ASN

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Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

https://github.com/MOCR/DDPG

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Actor-critic versus direct policy search: a comparison based on sample complexity

https://github.com/MadryLab/implementation-matters

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Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

https://github.com/MajidMoghadam2006/RL-frenet-trajectory-planning-in-CARLA

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An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

https://github.com/MajidMoghadam2006/deepcars-reinforcement-learning

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A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning

https://github.com/ManuelFritsche/vpc

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Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning

https://github.com/MarcoMeter/neroRL

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Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning

https://github.com/MarcusOlivecrona/REINVENT

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Molecular De Novo Design through Deep Reinforcement Learning

https://github.com/MarkusRabe/cadet

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Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning

https://github.com/MartinBertran/InstanceAgnosticPolicyEnsembles

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Instance based Generalization in Reinforcement Learning

https://github.com/MathPhysSim/FERMI_RL_Paper

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Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL

https://github.com/MatheusMRFM/STIM

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Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning

https://github.com/MatiasAlvo/Neural_inventory_control

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Neural Inventory Control in Networks via Hindsight Differentiable Policy Optimization

https://github.com/Mehooz/BIRD_code

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Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning

https://github.com/MeixinZhu/Velocity_control

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Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving

https://github.com/MichaelAllen1966/learninghospital

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Integrating Deep Reinforcement Learning Networks with Health System Simulations

https://github.com/MichaelAllen1966/qambo

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Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem

https://github.com/Miffyli/rl-action-space-shaping

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Action Space Shaping in Deep Reinforcement Learning

https://github.com/MouseHu/GEM

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Generalizable Episodic Memory for Deep Reinforcement Learning

https://github.com/NUS-LID/RENAULT

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Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning

https://github.com/NVIDIA-Omniverse/IsaacGymEnvs

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DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

https://github.com/NVlabs/DiffRL

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Accelerated Policy Learning with Parallel Differentiable Simulation

https://github.com/NeteaseFuxiRL/action-balance-exploration

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Exploring Unknown States with Action Balance

https://github.com/Networks-Learning/tpprl

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Deep Reinforcement Learning of Marked Temporal Point Processes

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