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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/sfujim/LAP-PAL

공식 코드

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay

https://github.com/sfujim/SR-DICE

공식 코드

A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation

https://github.com/sfujim/td7

공식 코드

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

https://github.com/sgillen/policy_refinement

공식 코드

Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies

https://github.com/sgoodfriend/rl-algo-impls

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A Competition Winning Deep Reinforcement Learning Agent in microRTS

https://github.com/shacklettbp/bps-nav

공식 코드

Large Batch Simulation for Deep Reinforcement Learning

https://github.com/shaneshixiang/rllabplusplus

공식 코드

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

https://github.com/shanlior/ExplorationConsciousRL

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Exploration Conscious Reinforcement Learning Revisited

https://github.com/sharif1093/dextron

공식 코드

End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning

https://github.com/sharonlevy/SafeRoute

공식 코드

SafeRoute: Learning to Navigate Streets Safely in an Urban Environment

https://github.com/shengrenhou/drl-for-energy-systems-optimal-scheduling

공식 코드

Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling

https://github.com/shengrenhou/rl-adn

공식 코드

RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks

https://github.com/shiningsunnyday/mcts-chess

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Alpha-Mini: Minichess Agent with Deep Reinforcement Learning

https://github.com/shiwj16/SSINet

공식 코드

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning

https://github.com/shiwj16/raa-drl

공식 코드

Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning

https://github.com/shreyassr123/double-sor-q-learning

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Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning

https://github.com/shuchaa/pandemic_during_war_abs

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Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Healthcare System Administration using Deep Reinforcement Learning

https://github.com/shuyanguni/drl_exposure_ctrl

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Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement Learning

https://github.com/sical/drlviz

공식 코드

DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning

https://github.com/siemens/industrialbenchmark

공식 코드

Deep Reinforcement Learning: An Overview

https://github.com/sinannasir/Power-Control-asilomar

공식 코드

Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks

https://github.com/sinannasir/Spectrum-Power-Allocation

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Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks

https://github.com/sinyu104/relay-selection-based-on-dqn

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Average AoI Minimization for Energy Harvesting Relay-aided Status Update Network Using Deep Reinforcement Learning

https://github.com/sisl/UAV_Wildfire_Monitoring

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Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction

https://github.com/sisl/event-driven-rllab

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Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes

https://github.com/skandavaidyanath/credit-assignment

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Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning

https://github.com/smpl-env/smpl

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SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments

https://github.com/smt-HS/I-SEE

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High-Quality Diversification for Task-Oriented Dialogue Systems

https://github.com/snagnar/hieros

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Hieros: Hierarchical Imagination on Structured State Space Sequence World Models

https://github.com/snakeztc/NeuralDialog-DM

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Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning

https://github.com/snu-list/deeprf

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Deep reinforcement learning-designed radiofrequency waveform in MRI

https://github.com/somjit77/oc_gvfs

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Discovering Object-Centric Generalized Value Functions From Pixels

https://github.com/somsagar07/FailureShiftRL

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Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models

https://github.com/songwenas12/csp-drl

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Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

https://github.com/sonyresearch/simba

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SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning

https://github.com/soon-jynn-chu/t1d_bg_prediction

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Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning

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