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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/boschresearch/dist-mbrl

공식 코드

Value-Distributional Model-Based Reinforcement Learning

https://github.com/boschresearch/information-theoretic-safe-exploration

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Information-Theoretic Safe Exploration with Gaussian Processes

https://github.com/budzianowski/multiwoz

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LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization

https://github.com/bwhub/Graph_Traversal_Order_in_Device_Placement

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Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement

https://github.com/c0derzer0/RSPMN

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Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed Environments

https://github.com/caisr-hh/combineuserenvironment

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A New Bandit Setting Balancing Information from State Evolution and Corrupted Context

https://github.com/cambridge-mlg/sgd-gp

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Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent

https://github.com/changon/resampling_heartsteps

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Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling

https://github.com/cjwyx/ph-ddpg-model

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A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control

https://github.com/clear-nus/scales

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SCALES: From Fairness Principles to Constrained Decision-Making

https://github.com/clementlarisa/multimodal-rgbd-agents

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Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents

https://github.com/codezakh/dataenvgym

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DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback

https://github.com/core-robotics-lab/bayes-pomcp

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Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation

https://github.com/core-snu/aa-pomdp

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Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy Approach

https://github.com/craftjarvis/minestudio

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MineStudio: A Streamlined Package for Minecraft AI Agent Development

https://github.com/csml-iit-ucl/powr

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Operator World Models for Reinforcement Learning

https://github.com/ctp314/tfporl

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Rethinking Transformers in Solving POMDPs

https://github.com/cyrusneary/differential_privacy_in_mas

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Differential Privacy in Cooperative Multiagent Planning

https://github.com/da03/markup2im

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Markup-to-Image Diffusion Models with Scheduled Sampling

https://github.com/daashuai/rl4evit

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Reinforcement Learning-based Token Pruning in Vision Transformers: A Markov Game Approach

https://github.com/daniellawson9999/merging-decision-transformers

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Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies

https://github.com/deepmind/open_spiel

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Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning

https://github.com/dimarkov/aibandits

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An empirical evaluation of active inference in multi-armed bandits

https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment

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Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer

https://github.com/dmorrill10/hr_edl_experiments

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Hindsight and Sequential Rationality of Correlated Play

https://github.com/doerlbh/BanditZoo

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Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling

https://github.com/doerlbh/mentalRL

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Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL

https://github.com/ds4dm/ecole-paper

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Ecole: A Library for Learning Inside MILP Solvers

https://github.com/dsbrown1331/machine-teaching-irl

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Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications

https://github.com/dtroop/evt-bandits

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Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR

https://github.com/ehsankazemi/adaptiveSubseq

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Adaptive Sequence Submodularity

https://github.com/erasmo1015/vte

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On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression

https://github.com/ermongroup/LISA

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LISA: Learning Interpretable Skill Abstractions from Language

https://github.com/eureka-research/Eureka

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Eureka: Human-Level Reward Design via Coding Large Language Models

https://github.com/facebookresearch/OccupancyAnticipation

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Occupancy Anticipation for Efficient Exploration and Navigation

https://github.com/facebookresearch/dcd

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Learning Curricula in Open-Ended Worlds

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