Papers with Code 아카이브

Model-based Reinforcement Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

코드

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

https://bitbucket.org/RLinRL/intelligenttrainerpublic

공식 코드

Intelligent Trainer for Model-Based Reinforcement Learning

https://github.com/1jsingh/semantic-guidance

공식 코드

Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings

https://github.com/2m-kotb/curiosity-cem

공식 코드

Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning

https://github.com/Bellman-devs/bellman

공식 코드

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

https://github.com/CLeARoboticsLab/ssrl

공식 코드

Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models

https://github.com/Data-Science-in-Mechanical-Engineering/macura

공식 코드

Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption

https://github.com/DavidLeeftink/probabilistic-pontryagin-control

공식 코드

Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning

https://github.com/FilippoAiraldi/learning-safety-in-mpc-based-rl

공식 코드

Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes

https://github.com/GoodAI/torchsim

공식 코드

ToyArchitecture: Unsupervised Learning of Interpretable Models of the World

https://github.com/HewlettPackard/trust-ml

공식 코드

Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness

https://github.com/HxLyn3/MPPVE

공식 코드

Model-based Reinforcement Learning with Multi-step Plan Value Estimation

https://github.com/JannerM/mbpo

공식 코드

When to Trust Your Model: Model-Based Policy Optimization

https://github.com/JianGuanTHU/IRecGAN

공식 코드

Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation

https://github.com/LeCAR-Lab/CoVO-MPC

공식 코드

CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design

https://github.com/Lukeeeeee/baconian-project

공식 코드

Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning

https://github.com/MIRALab-USTC/RL-POMBU

공식 코드

Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

https://github.com/ManUtdMoon/Safe_MBRL

공식 코드

Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate

https://github.com/Mehooz/BIRD_code

공식 코드

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning

https://github.com/NMerlis/TabulaRL

공식 코드

Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies

https://github.com/RockySJ/ampo

공식 코드

Model-based Policy Optimization with Unsupervised Model Adaptation

https://github.com/ShangtongZhang/DeepRL

공식 코드

Deep Residual Reinforcement Learning

https://github.com/VinAIResearch/TPC-tensorflow

공식 코드

Temporal Predictive Coding For Model-Based Planning In Latent Space

https://github.com/WilsonWangTHU/POPLIN

공식 코드

Exploring Model-based Planning with Policy Networks

https://github.com/YuhangSong/SGAN

공식 코드

Learning Approximate Stochastic Transition Models

https://github.com/abenechehab/dicl

공식 코드

Zero-shot Model-based Reinforcement Learning using Large Language Models

https://github.com/adi3e08/physics_informed_model_based_rl

공식 코드

Physics-Informed Model-Based Reinforcement Learning

https://github.com/aegis1863/cea

공식 코드

Counterfactual experience augmented off-policy reinforcement learning

https://github.com/alcedok/SocialNav_paper

공식 코드

Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation

https://github.com/andrewpaulchester/sage-code

공식 코드

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning

https://github.com/andyz245/LanguageAgentTreeSearch

공식 코드

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

https://github.com/anmolkabra/score-matching-rl

공식 코드

Exponential Family Model-Based Reinforcement Learning via Score Matching

https://github.com/anyasims/edge-of-reach

공식 코드

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning

https://github.com/anyasims/edge-of-reach-ravl

공식 코드

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning

https://github.com/artberryx/pma

공식 코드

Predictable MDP Abstraction for Unsupervised Model-Based RL

https://github.com/automl/HPO_for_RL

공식 코드

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning

https://github.com/autonomousagentslab/curiousreplay

공식 코드

Curious Replay for Model-based Adaptation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.