Papers with Code 아카이브

Reinforcement Learning

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평가표

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보존된 평가 기록

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코드

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

https://github.com/facebookresearch/diplomacy_searchbot

Learning to Play No-Press Diplomacy with Best Response Policy Iteration

https://github.com/facebookresearch/end-to-end-negotiator

Hierarchical Text Generation and Planning for Strategic Dialogue

https://github.com/facebookresearch/fastMRI

Active MR k-space Sampling with Reinforcement Learning

https://github.com/facebookresearch/habitat-api/tree/master/habitat_baselines/rl/ddppo

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

https://github.com/facebookresearch/habitat-challenge

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

https://github.com/facebookresearch/habitat-sim

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

https://github.com/facebookresearch/hanabi

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

https://github.com/facebookresearch/jps

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning

https://github.com/facebookresearch/minimax

Prioritized Level Replay

https://github.com/facebookresearch/mobile-vision

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

https://github.com/facebookresearch/mvfst-rl

TorchBeast: A PyTorch Platform for Distributed RL

https://github.com/facebookresearch/nle

BeBold: Exploration Beyond the Boundary of Explored Regions

https://github.com/facebookresearch/off-belief-learning

Scalable Online Planning via Reinforcement Learning Fine-Tuning

https://github.com/facebookresearch/rl

Smooth Exploration for Robotic Reinforcement Learning

https://github.com/facebookresearch/rl/blob/main/examples/ddpg/ddpg.py

Continuous control with deep reinforcement learning

https://github.com/facebookresearch/rl/blob/main/examples/dqn/dqn.py

Playing Atari with Deep Reinforcement Learning

https://github.com/facebookresearch/rl/blob/main/examples/sac/sac.py

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

https://github.com/facebookresearch/slbo

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

https://github.com/facebookresearch/soundspaces-challenge

SoundSpaces: Audio-Visual Navigation in 3D Environments

https://github.com/facebookresearch/torchbeast

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

https://github.com/fantianwen/laalaz13E

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

https://github.com/fantianwen/leela13_training

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

https://github.com/fapont/hackaton-hiparis-2021

Hindsight Experience Replay

https://github.com/farama-foundation/d4rl

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

https://github.com/farama-foundation/microrts-py

Comparing Observation and Action Representations for Deep Reinforcement Learning in $μ$RTS

https://github.com/farama-foundation/miniwob-plusplus

Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

https://github.com/farama-foundation/vizdoom

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

https://github.com/fastforwardlabs/learning-to-learn

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

https://github.com/fcUalberta/UAlberta-Multimedia-Masters-Program-Interpretable-AI-Part_1_2

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

https://github.com/fdcl-gwu/gym-rotor

Continuous control with deep reinforcement learning

https://github.com/federico-pizarrobejarano/safe-control-gym

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

https://github.com/feifeiobama/rewireneuron

Progressive Neural Networks

https://github.com/felipeescallon/openai-gym

OpenAI Gym

https://github.com/felix-laumann/Bayesian_CNN_ContinualLearning

Weight Uncertainty in Neural Networks

https://github.com/felix0901/interconnect-routing-gym

Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization

https://github.com/fengsterooni/dql

Deep Reinforcement Learning with Double Q-learning

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