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Reinforcement Learning

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

https://github.com/mmorris44/expressive-gdns

공식 코드

Universally Expressive Communication in Multi-Agent Reinforcement Learning

https://github.com/mobile-intelligence-lab/amoeba

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Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning

https://github.com/modestyachts/ARS

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Simple random search provides a competitive approach to reinforcement learning

https://github.com/mohmdelsayed/hesscale

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Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning

https://github.com/mohmdelsayed/streaming-drl

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Streaming Deep Reinforcement Learning Finally Works

https://github.com/mohmdelsayed/weight-clipping

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Weight Clipping for Deep Continual and Reinforcement Learning

https://github.com/monnalo/uav_navigation

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UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment

https://github.com/montaserFath/Reinforcement-Learning-for-Prosthetics

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Transfer Learning for Prosthetics Using Imitation Learning

https://github.com/montrealrobotics/dal

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Deep Active Localization

https://github.com/montrealrobotics/iv_rl

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Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

https://github.com/moonoutcloudback/clarify_pbrl

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CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries

https://github.com/moporgic/tdl2048

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On Reinforcement Learning for the Game of 2048

https://github.com/moreanp/csro

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Context Shift Reduction for Offline Meta-Reinforcement Learning

https://github.com/moreanp/osc

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Policy Constraint by Only Support Constraint for Offline Reinforcement Learning

https://github.com/morgancthomas/molscore

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ACEGEN: Reinforcement learning of generative chemical agents for drug discovery

https://github.com/morningmoni/HiLAP

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Hierarchical Text Classification with Reinforced Label Assignment

https://github.com/morningmoni/RL-MMR

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Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning

https://github.com/morningmoni/TaxoRL

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End-to-End Reinforcement Learning for Automatic Taxonomy Induction

https://github.com/motokiomura/MXQL

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Stabilizing Extreme Q-learning by Maclaurin Expansion

https://github.com/mpd37/pilco-matlab

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Gaussian Processes for Data-Efficient Learning in Robotics and Control

https://github.com/mradaideh/neorl

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NEORL: NeuroEvolution Optimization with Reinforcement Learning

https://github.com/mrjun123/DPETS

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Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling

https://github.com/mrkulk/hierarchical-deep-RL

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Deep Reinforcement Learning

https://github.com/mrucker/kpirl-kla

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Reward Shaping for Human Learning via Inverse Reinforcement Learning

https://github.com/mselser95/optimal-market-making

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Optimal Market Making by Reinforcement Learning

https://github.com/mshoush/rl-prescriptive-monitoring

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Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach

https://github.com/msramada/active-learning-reinforcement-learning

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Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach

https://github.com/mszulc913/acerac

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A framework for reinforcement learning with autocorrelated actions

https://github.com/mtoquebiau/joint-intrinsic-motivation

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Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning

https://github.com/mudita11/DE-DDQN

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Deep Reinforcement Learning Based Parameter Control in Differential Evolution

https://github.com/multimodal-art-projection/criticlean

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CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization

https://github.com/multimodal-art-projection/korgym

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KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation

https://github.com/murpheylab/maxdiffrl

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Maximum diffusion reinforcement learning

https://github.com/mushfiqur11/simpledc-dataset

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Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning

https://github.com/muttimirco/alphamepol

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Unsupervised Reinforcement Learning in Multiple Environments

https://github.com/mwalton/ToM-hanabi-neurips19

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Theory of Mind for Deep Reinforcement Learning in Hanabi

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