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/thechrisyoon08/Multi-agent-reinforcement-learning

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

https://github.com/thechrisyoon08/marl

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

https://github.com/thejat/active-curricula-for-efficient-reinforcement-learning

Faster Reinforcement Learning Using Active Simulators

https://github.com/theneuralbeing/maml

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

https://github.com/theneuralbeing/neuroevolution

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

https://github.com/theolepage/ssl-for-slr

Representation Learning with Contrastive Predictive Coding

https://github.com/theowu23451/DRAM

Recurrent Models of Visual Attention

https://github.com/theresearchai/vehicle_routing_rl_2

Proximal Policy Optimization Algorithms

https://github.com/thezingaro/multimodal-side-tuning

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

https://github.com/thlautenschlaeger/bpttv-lax

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

https://github.com/thomas-schillaci/SimPLe

Model-Based Reinforcement Learning for Atari

https://github.com/thomasahle/mcts-2048

Mastering 2048 with Delayed Temporal Coherence Learning, Multi-Stage Weight Promotion, Redundant Encoding and Carousel Shaping

https://github.com/thomasaunger/babyai

BabyAI 1.1

https://github.com/thomasbrandon/swish-torch

Searching for Activation Functions

https://github.com/thomashirtz/gym-hybrid

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

https://github.com/thomashirtz/noisy-networks

Noisy Networks for Exploration

https://github.com/thomashirtz/pytorch-soft-actor-critic

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

https://github.com/thomashirtz/soft-actor-critic

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

https://github.com/thomashuang2017/simpson-dialogue-gan-master

Adversarial Learning for Neural Dialogue Generation

https://github.com/thomasscialom/summa-qa

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models

https://github.com/thomasslloyd/EnvironmentMonitoring

Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning

https://github.com/thompsonj/nanoGCG

An Alternative Softmax Operator for Reinforcement Learning

https://github.com/threewisemonkeys-as/torched_impala

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

https://github.com/thtang/CheXNet-with-localization

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

https://github.com/thuml/Transfer-Learning-Library

Learning to Generalize: Meta-Learning for Domain Generalization

https://github.com/tiagoCuervo/CommonsGame

A multi-agent reinforcement learning model of common-pool resource appropriation

https://github.com/tianbaochou/CNAS

DARTS: Differentiable Architecture Search

https://github.com/tianheyu927/dpn

Unsupervised Visuomotor Control through Distributional Planning Networks

https://github.com/tianjunz/NovelD

BeBold: Exploration Beyond the Boundary of Explored Regions

https://github.com/tianyu-tristan/Visual-Attention-Model

Recurrent Models of Visual Attention

https://github.com/tidedra/vl-rlhf

Proximal Policy Optimization Algorithms

https://github.com/tiger-ai-lab/vl-rethinker

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

https://github.com/tilkb/thermoai

Continuous control with deep reinforcement learning

https://github.com/tilos-ai-institute/mlcad-2023-fpga-macro-placement-contest

Chip Placement with Deep Reinforcement Learning

https://github.com/timka357/ML_Game

Unity: A General Platform for Intelligent Agents

https://github.com/timoklein/car_racer

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.