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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/automl/HpBandSter

공식 코드

BOHB: Robust and Efficient Hyperparameter Optimization at Scale

https://github.com/automl/SEARL

공식 코드

Sample-Efficient Automated Deep Reinforcement Learning

https://github.com/automl/instance-dac

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Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization

https://github.com/automl/learna

공식 코드

Learning to Design RNA

https://github.com/awjuliani/deep-rl-plasticity

공식 코드

A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning

https://github.com/axelabels/DynMORL

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Dynamic Weights in Multi-Objective Deep Reinforcement Learning

https://github.com/az79nefy/OrdinalRL

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Deep Ordinal Reinforcement Learning

https://github.com/baha2r/Fanuc_Robotiq_Grasp

공식 코드

Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots

https://github.com/baicenxiao/shaping-advice

공식 코드

Shaping Advice in Deep Reinforcement Learning

https://github.com/baichenjia/contrastive-ucb

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Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning

https://github.com/baifanxxx/NPMO-Rearrangement

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Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search

https://github.com/baimingc/delay-aware-MARL

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Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

https://github.com/balsa-project/balsa

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Balsa: Learning a Query Optimizer Without Expert Demonstrations

https://github.com/barakeel/synthesis_datasets

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Deep Reinforcement Learning for Synthesizing Functions in Higher-Order Logic

https://github.com/barakgahtan/5gire

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5G Routing Interfered Environment

https://github.com/baratilab/meshdqn

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MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics

https://github.com/baturaysaglam/ac-off-poc

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Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach

https://github.com/baturaysaglam/dase

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Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms

https://github.com/baturaysaglam/discover

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Deep Intrinsically Motivated Exploration in Continuous Control

https://github.com/baturaysaglam/la3p

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Actor Prioritized Experience Replay

https://github.com/baturaysaglam/ris-miso-pda-deep-reinforcement-learning

공식 코드

Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI

https://github.com/baturaysaglam/swtd3

공식 코드

Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients

https://github.com/behavioral-data/PARTNER

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Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach

https://github.com/behzadanksu/rl-attack

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Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger

https://github.com/belimmer/PerturbationSaliencyEvaluation

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Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents

https://github.com/bengioe/staleness-corrected-momentum

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Correcting Momentum in Temporal Difference Learning

https://github.com/bgasperov/drlformm

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Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model

https://github.com/bgleon/latent-goal-architectures

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In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications

https://github.com/bic4907/insturcted_pcgrl

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IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation

https://github.com/bill-cjb/nhde

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Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement

https://github.com/binqi-sun/egs

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Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning

https://github.com/biswajitsadhu/raddqn

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RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathway

https://github.com/bit-xjy/rl-based-transferable-ems

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A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles

https://github.com/bit1029public/ADRQN

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On Improving Deep Reinforcement Learning for POMDPs

https://github.com/bit1029public/simsr

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SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning

https://github.com/bladedancer957/spn-ga

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Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network

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