Papers with Code 아카이브

Reinforcement Learning

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코드

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

https://github.com/Baidi96/text2sql

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

https://github.com/Bam4d/GVGAI_GYM

Deep Reinforcement Learning for General Video Game AI

https://github.com/Bam4d/Neural-Game-Engine

Neural Game Engine: Accurate learning of generalizable forward models from pixels

https://github.com/Banmahhhh/HIPI-RL

Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement

https://github.com/Bayesian-Razor/papernotes

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

https://github.com/BerenMillidge/DeepActiveInference

Deep Active Inference as Variational Policy Gradients

https://github.com/BerkeleyLearnVerify/VerifAI

Proximal Policy Optimization Algorithms

https://github.com/BertilBraun/ChessBot

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/Bhaney44/MIT_DeepTraffic

DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation

https://github.com/Bibyutatsu/Self_Driving_Car

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

https://github.com/Bigpig4396/PyTorch-Constrained-Policy-Optimization-CPO

Constrained Policy Optimization

https://github.com/Bigpig4396/PyTorch-Soft-Actor-Critic-SAC

Soft Actor-Critic for Discrete Action Settings

https://github.com/Billijk/DeepQuestionAsking

Modeling question asking using neural program generation

https://github.com/Bmillidgework/DeepActiveInference_Code

Deep Active Inference as Variational Policy Gradients

https://github.com/Bonnevie/rebar

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

https://github.com/Branbados/rlcard

RLCard: A Toolkit for Reinforcement Learning in Card Games

https://github.com/Brandon-Rozek/DeepRL

Prioritized Experience Replay

https://github.com/BrianPulfer/PapersReimplementations

Proximal Policy Optimization Algorithms

https://github.com/BroCoLySTyLe/SQLovaReview

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

https://github.com/Brook1711/RIS_components

Continuous control with deep reinforcement learning

https://github.com/BrutishGuy/ContinuumArmedBandits

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

https://github.com/Burntt/FinRL_Crypto

Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting

https://github.com/ByMic/PETS

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

https://github.com/CAVED123/METAWORLD

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

https://github.com/CAVED123/MolGAN

MolGAN: An implicit generative model for small molecular graphs

https://github.com/CAVED123/TD-DPPO

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

https://github.com/CAVED123/Tensorforce

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

https://github.com/CAVED123/tensorforce-

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

https://github.com/CMU-CREATE-Lab/deep-smoke-machine

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/COHRINT/FaMSeC

Factorized Machine Self-Confidence for Decision-Making Agents

https://github.com/COMP6248-Reproducability-Challenge/Transfer-Learning

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

https://github.com/CSCI4850/S20-team3-project

Prioritized Experience Replay

https://github.com/CSautier/Breakout

Proximal Policy Optimization Algorithms

https://github.com/CSautier/PongBot

Proximal Policy Optimization Algorithms

https://github.com/CX000/sqlnet_inference_py36

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

https://github.com/Cadene/pretrained-models.pytorch

Progressive Neural Architecture Search

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