Papers with Code 아카이브

Decision Making

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코드

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

https://github.com/pytorch/rl

TorchRL: A data-driven decision-making library for PyTorch

https://github.com/pytorch/rl/tree/main/examples/sac

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/pytorch/tensordict

TorchRL: A data-driven decision-making library for PyTorch

https://github.com/qayqaq/lanmdp

Learning non-Markovian Decision-Making from State-only Sequences

https://github.com/qcappart/hybrid-cp-rl-solver

An Introduction to Deep Reinforcement Learning

https://github.com/qingyun-wu/autogen-eval

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

https://github.com/quantumiracle/Popular-RL-Algorithms

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/qub-blesson/ScissionTL

Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks

https://github.com/rach0012/humanRL_prior_games

Investigating Human Priors for Playing Video Games

https://github.com/radoslawkrolikowski/adsb-flight-localization

TabNet: Attentive Interpretable Tabular Learning

https://github.com/rajahaseeb147/PCD_Registration_ReAgent

ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning

https://github.com/ram81/il_rl_baselines

PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav

https://github.com/ramongss/2020-CSF-COVID19

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

https://github.com/ran-weii/cleanil

Generative Adversarial Imitation Learning

https://github.com/randlbem/early_icu_mortality_prediction_with_deep_fl

FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction

https://github.com/raphaelavalos/attention_tsp_graph_net

Relational inductive biases, deep learning, and graph networks

https://github.com/ravi-lanka-4/CoPiEr

Co-training for Policy Learning

https://github.com/ray-project/ray/tree/master/rllib

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/rayhong/model_interpretability

Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs

https://github.com/rddy/ReQueST

Reward learning from human preferences and demonstrations in Atari

https://github.com/reinforcement-learning-kr/lets-do-irl

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

https://github.com/resuldagdanov/DeFIX

DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving

https://github.com/rfgong/narita

Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility Rules

https://github.com/richardobi/frd-score

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

https://github.com/richemslie/galvanise_zero

Thinking Fast and Slow with Deep Learning and Tree Search

https://github.com/rickyHong/Graph-Net-repl-for-Jigsaw

Relational inductive biases, deep learning, and graph networks

https://github.com/rigorous-software-engineering/nomos

Specifying and Testing $k$-Safety Properties for Machine-Learning Models

https://github.com/rizalmaulanaa/robustness_of_prob_u_net

A Probabilistic U-Net for Segmentation of Ambiguous Images

https://github.com/rk1998/robot-sac

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/roccojhu/neural_regression_discontinuity

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

https://github.com/rohitrango/BC-regularized-GAIL

Augmenting GAIL with BC for sample efficient imitation learning

https://github.com/rohitrango/Reward-bias-in-GAIL

Generative Adversarial Imitation Learning

https://github.com/rolv-arild/necto

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

https://github.com/ronghanghu/snmn

Explainable Neural Computation via Stack Neural Module Networks

https://github.com/ronuchit/GLIB-AAAI-2021

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling

https://github.com/roythuly/obac

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

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