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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/asap7772/ptr

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Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

https://github.com/asappresearch/dialogue-offline-rl

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On the Effectiveness of Offline RL for Dialogue Response Generation

https://github.com/aviralkumar2907/CQL

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Conservative Q-Learning for Offline Reinforcement Learning

https://github.com/baichenjia/pbrl

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Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

https://github.com/baichenjia/utds

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Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning

https://github.com/baitingluo/l-map

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Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction

https://github.com/battlewen/ro2o

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Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness

https://github.com/ben-eysenbach/ac-connection

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A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning

https://github.com/betray12138/UNICORN

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Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning

https://github.com/bit1029public/offline_bpr

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Behavior Prior Representation learning for Offline Reinforcement Learning

https://github.com/bkkgbkjb/oppo

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Beyond Reward: Offline Preference-guided Policy Optimization

https://github.com/borealisai/sasrec-ccql

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Robust Reinforcement Learning Objectives for Sequential Recommender Systems

https://github.com/carolinssc/offline-rl-amod

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Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning

https://github.com/carolinssc/offline-rl-for-amod

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Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning

https://github.com/changchencc/plandq

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PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer

https://github.com/changyuchen347/semi-offline-rl

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Semi-Offline Reinforcement Learning for Optimized Text Generation

https://github.com/charleshsc/CompoFormer

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Continual Task Learning through Adaptive Policy Self-Composition

https://github.com/chendrag/sfbc

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Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling

https://github.com/chongminggao/cirs-codes

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CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System

https://github.com/chongminggao/dorl-codes

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Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation

https://github.com/cityujun/hvac_offline_rl

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Experimental evaluation of offline reinforcement learning for HVAC control in buildings

https://github.com/cjreinforce/jowa

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Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining

https://github.com/clear-nus/ltldog

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LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning

https://github.com/clvrai/furniture-bench

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FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation

https://github.com/colinqiyangli/adacat

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AdaCat: Adaptive Categorical Discretization for Autoregressive Models

https://github.com/conglu1997/v-d4rl

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Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

https://github.com/corl-team/CORL

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Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size

https://github.com/cwibault/sorel_torel

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Fully Offline Reinforcement Learning

https://github.com/czp16/cde-offline-rl

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Learning from Sparse Offline Datasets via Conservative Density Estimation

https://github.com/d09942015ntu/leveraging_unlabeled_offline_rl

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Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning

https://github.com/dasgringuen/assetto_corsa_gym

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A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data

https://github.com/davidbrandfonbrener/onestep-rl

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Offline RL Without Off-Policy Evaluation

https://github.com/decisionforce/EGPO

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Safe Driving via Expert Guided Policy Optimization

https://github.com/deepmind/constrained_optidice

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COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation

https://github.com/deepmind/deepmind-research/tree/master/rl_unplugged

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RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

https://github.com/deepmind/rgb_stacking

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Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes

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