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Sequential Decision Making

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코드

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

https://github.com/facebookresearch/mtm

공식 코드

Masked Trajectory Models for Prediction, Representation, and Control

https://github.com/facebookresearch/nle

공식 코드

Dungeons and Data: A Large-Scale NetHack Dataset

https://github.com/familyld/insightfair

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What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning

https://github.com/fatemehN/entangled_representation

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$β$-Multivariational Autoencoder for Entangled Representation Learning in Video Frames

https://github.com/fduxuan/sdm-attack

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Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making

https://github.com/feedzai/timeshap

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TimeSHAP: Explaining Recurrent Models through Sequence Perturbations

https://github.com/fracapuano/temporl

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TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning

https://github.com/frakkerman/ooh_code

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Learning Dynamic Selection and Pricing of Out-of-Home Deliveries

https://github.com/frankzheng2022/prise

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PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control

https://github.com/frenkowski/scimai-gym

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Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains

https://github.com/gaperez64/pomdps-reveal

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Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives

https://github.com/gianmarcogenalti/autoregressive-bandits

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Autoregressive Bandits

https://github.com/giarcieri/hidden-markov-models

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Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems

https://github.com/giarcieri/robust-optimal-maintenance-planning-through-reinforcement-learning-and-rllib

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POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance

https://github.com/gkthom/lagrseq

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LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying

https://github.com/google-research/google-research/tree/master/compositional_rl

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Adversarial Environment Generation for Learning to Navigate the Web

https://github.com/google-research/rlds

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RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

https://github.com/grockious/lcrl

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Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees

https://github.com/guldoganozgur/long_term_fairness_pos_reinf

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Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement

https://github.com/gundemkorel/inventory_pricing_control

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Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand

https://github.com/guojm14/ESPL

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Efficient Symbolic Policy Learning with Differentiable Symbolic Expression

https://github.com/guolingbing/rlea

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Deep Reinforcement Learning for Entity Alignment

https://github.com/hanyas/psoc

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Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing

https://github.com/haotiansun14/adaplanner

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AdaPlanner: Adaptive Planning from Feedback with Language Models

https://github.com/huawei-noah/SMARTS

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Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey

https://github.com/huggingface/jat

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Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent

https://github.com/improbable-ai/human-guided-exploration

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Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback

https://github.com/ispc-lab/marl4ad

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Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey

https://github.com/iurteaga/bandits

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Sequential Monte Carlo Bandits

https://github.com/jaayala/risk_aware_contextual_bandit

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Risk-Aware Continuous Control with Neural Contextual Bandits

https://github.com/jahirsadik/cohet-implementation

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Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards

https://github.com/jajajang/sparse

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PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits

https://github.com/janhq/visual-thinker

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AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO

https://github.com/jano1906/TokenRecycling

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TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration

https://github.com/jaromiru/cwcf

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Classification with Costly Features using Deep Reinforcement Learning

https://github.com/jeffnclark/trace

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TraCE: Trajectory Counterfactual Explanation Scores

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