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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/zihangdai/ERAC-VAML

공식 코드

From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction

https://github.com/zilin-huang/HAIM-DRL

공식 코드

HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving

https://github.com/zilin-huang/PE-RLHF

공식 코드

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving

https://github.com/zipengxuc/ecs-visdial-rl

공식 코드

Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue

https://github.com/zisikons/deep-rl

공식 코드

Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces

https://github.com/zitian-gao/one-shot-em

공식 코드

One-shot Entropy Minimization

https://github.com/ziyizhang27/mvc-zigal

공식 코드

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning

https://github.com/ziyuanma/dcc

공식 코드

Learning Selective Communication for Multi-Agent Path Finding

https://github.com/ziyuwan/rema-public

공식 코드

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning

https://github.com/ziyuzhao-zzy/logostylefool

공식 코드

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

https://github.com/zjlab-ammi/hs-omrl

공식 코드

On Context Distribution Shift in Task Representation Learning for Offline Meta RL

https://github.com/zjunlp/knowrl

공식 코드

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality

https://github.com/zjunlp/recode

공식 코드

ReCode: Updating Code API Knowledge with Reinforcement Learning

https://github.com/zkcys001/distracting_feature

공식 코드

Abstract Reasoning with Distracting Features

https://github.com/zkshan2002/rto

공식 코드

DPO Meets PPO: Reinforced Token Optimization for RLHF

https://github.com/zmd971202/IronyGeneration

공식 코드

A Neural Approach to Irony Generation

https://github.com/zminton/TrolleyMod

공식 코드

TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles

https://github.com/znowu/mirror-learning

공식 코드

Mirror Learning: A Unifying Framework of Policy Optimisation

https://github.com/zoharri/mamba

공식 코드

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning

https://github.com/zowiezhang/stas

공식 코드

STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning

https://github.com/zpschang/MD3QN

공식 코드

Distributional Reinforcement Learning for Multi-Dimensional Reward Functions

https://github.com/zrc0622/HIRL4UCAV

공식 코드

An Imitative Reinforcement Learning Framework for Autonomous Dogfight

https://github.com/zsoltzombori/plcop

공식 코드

Prolog Technology Reinforcement Learning Prover

https://github.com/zuzuba/CISR_NeurIPS20

공식 코드

Safe Reinforcement Learning via Curriculum Induction

https://github.com/zwfightzw/Meta-Critic

공식 코드

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

https://github.com/zyh-pku/reinforcement-learning-and-market-making

공식 코드

Reinforcement Learning in High-frequency Market Making

https://github.com/zyh1999/cadp

공식 코드

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

https://github.com/zyq-scut/rltf

공식 코드

RLTF: Reinforcement Learning from Unit Test Feedback

https://github.com/zzzace2000/autodiagnosis

공식 코드

Dynamic Measurement Scheduling for Event Forecasting using Deep RL

https://gitlab.ai.vub.ac.be/mreymond/morl-guide

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A Practical Guide to Multi-Objective Reinforcement Learning and Planning

https://gitlab.ai.vub.ac.be/yocoppen/svcn2

공식 코드

Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning

https://gitlab.com/AAAL/DFRL

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Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

https://gitlab.com/AAAL/Fair-RL

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Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

https://gitlab.com/anonymousppocl_cm1/anonymous_collisions_paper

공식 코드

Curriculum RL meets Monte Carlo Planning: Optimization of a Real World Container Management Problem

https://gitlab.com/compromise3/desrutge

공식 코드

Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator

https://gitlab.com/ericavandersar/marl4powergridtopo

공식 코드

Multi-Agent Reinforcement Learning for Power Grid Topology Optimization

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