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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/dibyaghosh/dnc

공식 코드

Divide-and-Conquer Reinforcement Learning

https://github.com/digitalphonetics/conversational-tree-search

공식 코드

Conversational Tree Search: A New Hybrid Dialog Task

https://github.com/dilinwang820/adaptive-f-divergence

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Variational Inference with Tail-adaptive f-Divergence

https://github.com/dimesteam/dimes

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DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems

https://github.com/dimikout3/GeneralExplorationPolicy

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MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments

https://github.com/dimikout3/MarsExplorer

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MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments

https://github.com/dimonenka/rl_policy_budget

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Personalized Reinforcement Learning with a Budget of Policies

https://github.com/dimvlachogiannis/humanlight

공식 코드

HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control

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

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

https://github.com/dkangin/baselines

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On-Policy Trust Region Policy Optimisation with Replay Buffers

https://github.com/dlr-mi/dati

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Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation

https://github.com/dmar-bonn/ipp-rl-3d

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Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning

https://github.com/dmitrySorokin/interferobotProject

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Interferobot: aligning an optical interferometer by a reinforcement learning agent

https://github.com/dmksjfl/GD3

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Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients

https://github.com/dmollaaliod/alta2017-rl

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Towards the Use of Deep Reinforcement Learning with Global Policy For Query-based Extractive Summarisation

https://github.com/dnandha/mopac

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Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

https://github.com/dniku/free-lunch-saliency

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Free-Lunch Saliency via Attention in Atari Agents

https://github.com/dnishio/NEC-RP

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Random Projection in Neural Episodic Control

https://github.com/dohyeoklee/SPQR

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SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning

https://github.com/dongzhou-1996/sncoat

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Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning

https://github.com/dorlivne/PoPS

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PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning

https://github.com/dos-group/magpie

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Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning

https://github.com/dppalomar/sparseindextracking

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Reinforcement Learning for Financial Index Tracking

https://github.com/drl-casia/abcp

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ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search

https://github.com/drl-casia/autonomous-driving

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Lane Change Decision-Making through Deep Reinforcement Learning

https://github.com/drldeploymentchallenges-icsme2023/replicationpackage

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Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges

https://github.com/drlinter/drlinter

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Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach

https://github.com/drmeerkat/Deep-Graph-Value-Network

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Towards Sample Efficient Agents through Algorithmic Alignment

https://github.com/dt6a/clorl

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Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?

https://github.com/dti-research/SenseActExperiments

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A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots

https://github.com/dylan-goetting/Newsvendor-RL

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Newsvendor Model with Deep Reinforcement Learning

https://github.com/ed2-paper/ed2

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Continuous Control With Ensemble Deep Deterministic Policy Gradients

https://github.com/edbeeching/3d_control_deep_rl

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Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer

https://github.com/edwintsalcedo/forestprotector

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ForestProtector: An IoT Architecture Integrating Machine Vision and Deep Reinforcement Learning for Efficient Wildfire Monitoring

https://github.com/eivindeb/rluav

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Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments

https://github.com/electronicarts/character-motion-vaes

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Character Controllers Using Motion VAEs

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