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Offline RL

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

https://github.com/shlee94/Off2OnRL

공식 코드

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

https://github.com/shripaddeshmukh/xrl_with_trajectories

공식 코드

Explaining RL Decisions with Trajectories

https://github.com/siddharthverma314/chai-naacl-2022

공식 코드

CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning

https://github.com/siemens/industrialbenchmark

공식 코드

Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning

https://github.com/sildater/parangonar

공식 코드

Online Symbolic Music Alignment with Offline Reinforcement Learning

https://github.com/sirabas369/diffclone

공식 코드

DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning

https://github.com/snu-mllab/dppo

공식 코드

Direct Preference-based Policy Optimization without Reward Modeling

https://github.com/spitis/mocoda

공식 코드

MoCoDA: Model-based Counterfactual Data Augmentation

https://github.com/srzer/LaMo-2023

공식 코드

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

https://github.com/stavrosorf/dt4evs

공식 코드

GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments

https://github.com/stillwolf/acsf-snn

공식 코드

A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning

https://github.com/sweetice/POPO

공식 코드

POPO: Pessimistic Offline Policy Optimization

https://github.com/syyunn/finrl-dt

공식 코드

Pretrained LLM Adapted with LoRA as a Decision Transformer for Offline RL in Quantitative Trading

https://github.com/t6-thu/H2O

공식 코드

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning

https://github.com/takuseno/d3rlpy

공식 코드

d3rlpy: An Offline Deep Reinforcement Learning Library

https://github.com/tencent-ailab/hokoff

공식 코드

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks

https://github.com/thanhnguyentang/drbqo

공식 코드

On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency

https://github.com/thanhnguyentang/neural-offline-rl

공식 코드

VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation

https://github.com/thu-rllab/CFCQL

공식 코드

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning

https://github.com/thuml/Flowformer

공식 코드

Flowformer: Linearizing Transformers with Conservation Flows

https://github.com/thuml/SPOT

공식 코드

Supported Policy Optimization for Offline Reinforcement Learning

https://github.com/tiancigao/diffppo

공식 코드

Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization

https://github.com/tianheyu927/mopo

공식 코드

MOPO: Model-based Offline Policy Optimization

https://github.com/tianyucodings/diffusion_trusted_q_learning

공식 코드

Diffusion Policies creating a Trust Region for Offline Reinforcement Learning

https://github.com/tinkoff-ai/cnf

공식 코드

Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

https://github.com/tsutikgiau/valuememorygraph

공식 코드

Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning

https://github.com/tumcps/pytupli

공식 코드

PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning Projects

https://github.com/tung-nd/cwbc

공식 코드

Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning

https://github.com/uoe-agents/imitation-learning-pcg

공식 코드

Using Offline Data to Speed Up Reinforcement Learning in Procedurally Generated Environments

https://github.com/uoe-agents/robust_onpolicy_data_collection

공식 코드

Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning

https://github.com/vanderschaarlab/neurallaplacecontrol

공식 코드

Neural Laplace Control for Continuous-time Delayed Systems

https://github.com/vermouth1992/bracp

공식 코드

BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning

https://github.com/vineetjain96/merlin

공식 코드

Learning to Reach Goals via Diffusion

https://github.com/vision-cair/af-guide

공식 코드

Guiding Online Reinforcement Learning with Action-Free Offline Pretraining

https://github.com/wadx2019/qvpo

공식 코드

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

https://github.com/wenqi-cui/trajectory-generation

공식 코드

Efficient Reinforcement Learning Through Trajectory Generation

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