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Reinforcement Learning

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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/opendfm/rememberer

공식 코드

Large Language Models Are Semi-Parametric Reinforcement Learning Agents

https://github.com/opendilab/GenerativeRL

공식 코드

Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective

https://github.com/openpsi-project/srl

공식 코드

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores

https://github.com/openpsi-projects/srl

공식 코드

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores

https://github.com/openrl-lab/diversepolicies

공식 코드

Diverse Policies Converge in Reward-free Markov Decision Processe

https://github.com/openrl-lab/openrl

공식 코드

OpenRL: A Unified Reinforcement Learning Framework

https://github.com/openrlhf/openrlhf

공식 코드

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

https://github.com/orcax/PGPR

공식 코드

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

https://github.com/orenneumann/alphazero-scaling-laws

공식 코드

Scaling Laws for a Multi-Agent Reinforcement Learning Model

https://github.com/ori-drs/lfmc_cval

공식 코드

Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion

https://github.com/ori-drs/lfmc_gym

공식 코드

Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion

https://github.com/ori-drs/lfmc_pyval

공식 코드

Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion

https://github.com/ori-goals/lfd-min-human-effort

공식 코드

A Framework for Learning from Demonstration with Minimal Human Effort

https://github.com/oscarhuangwind/drl-transformer-simtoreal-navigation

공식 코드

Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

https://github.com/oscartaoyupan/trafficlightcontrol_qs

공식 코드

Traffic Light Control with Reinforcement Learning

https://github.com/osh/kerlym

공식 코드

Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent

https://github.com/osinenkop/regelum-calf

공식 코드

An agent design with goal reaching guarantees for enhancement of learning

https://github.com/osrlpaper/os_rl_papercode

공식 코드

Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering

https://github.com/othmaneM/RL_adap_stepsize

공식 코드

Improving reinforcement learning algorithms: towards optimal learning rate policies

https://github.com/owenonline/knowledge-graph-reasoning-with-self-supervised-reinforcement-learning

공식 코드

Knowledge Graph Reasoning with Self-supervised Reinforcement Learning

https://github.com/oxwhirl/loaded-dice

공식 코드

Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning

https://github.com/oxwhirl/opiq

공식 코드

Optimistic Exploration even with a Pessimistic Initialisation

https://github.com/oxwhirl/pymarl

공식 코드

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

https://github.com/oxwhirl/smac

공식 코드

The StarCraft Multi-Agent Challenge

https://github.com/oxwhirl/smacv2

공식 코드

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

https://github.com/oxwhirl/treeqn

공식 코드

TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning

https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

공식 코드

Soft Actor-Critic for Discrete Action Settings

https://github.com/pablovin/ChefsHatGYM

공식 코드

Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game

https://github.com/pablovin/ChefsHatPlayersClub

공식 코드

Incorporating Rivalry in Reinforcement Learning for a Competitive Game

https://github.com/padlex/reinforcement-learning-from-explicitly-programmed-reward-signals

공식 코드

Exploring RL-based LLM Training for Formal Language Tasks with Programmed Rewards

https://github.com/pagand/eco-light

공식 코드

Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions

https://github.com/paintception/Deep-Quality-Value-Family-

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Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms

https://github.com/pairlab/d2rl

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D2RL: Deep Dense Architectures in Reinforcement Learning

https://github.com/pairlab/vagram

공식 코드

Value Gradient weighted Model-Based Reinforcement Learning

https://github.com/panayiotisd/fisher-market

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AI-driven Prices for Externalities and Sustainability in Production Markets

https://github.com/pangolulu/exact-k-recommendation

공식 코드

Exact-K Recommendation via Maximal Clique Optimization

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