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Reinforcement Learning

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코드

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

https://github.com/cmu-safari/pythia

공식 코드

Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning

https://github.com/coastalcph/dialog-rl

공식 코드

Domain Transfer in Dialogue Systems without Turn-Level Supervision

https://github.com/coco0106/MO-STEP

공식 코드

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning

https://github.com/coco66/ADFQ

공식 코드

Assumed Density Filtering Q-learning

https://github.com/coco66/ttenv

공식 코드

Learning to Track Dynamic Targets in Partially Known Environments

https://github.com/cog-isa/forger

공식 코드

Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations

https://github.com/cog-isa/schema-rl

공식 코드

Delta Schema Network in Model-based Reinforcement Learning

https://github.com/cogneuroai/rl-with-scale-invariant-memory

공식 코드

Deep reinforcement learning with time-scale invariant memory

https://github.com/cognitiveaisystems/mapf-gpt

공식 코드

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale

https://github.com/coirl/coirl_code

공식 코드

Inverse Reinforcement Learning in Contextual MDPs

https://github.com/coladog/tinyagent

공식 코드

CPU frequency scheduling of real-time applications on embedded devices with temporal encoding-based deep reinforcement learning

https://github.com/colazhang22/pps-qmix

공식 코드

PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning

https://github.com/combra-lab/pop-spiking-deep-rl

공식 코드

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

https://github.com/combra-lab/spiking-ddpg-mapless-navigation

공식 코드

Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware

https://github.com/compdyn/rl_grid_coarsen

공식 코드

Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning

https://github.com/compsciencelab/ppo_D

공식 코드

Guided Exploration with Proximal Policy Optimization using a Single Demonstration

https://github.com/compsoftmatterbiophysics-cityu-hk/applying-drl-to-hp-model-for-protein-structure-prediction

공식 코드

Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction

https://github.com/confeitohs/arcle

공식 코드

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

https://github.com/conglu1997/SynthER

공식 코드

Synthetic Experience Replay

https://github.com/conglu1997/nppac

공식 코드

On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

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

공식 코드

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

https://github.com/congyewang/Reinforcement-Learning-for-Adaptive-MCMC

공식 코드

Reinforcement Learning for Adaptive MCMC

https://github.com/continualai/avalanche-rl

공식 코드

Avalanche RL: a Continual Reinforcement Learning Library

https://github.com/coodest/highway-rl

공식 코드

Highway Graph to Accelerate Reinforcement Learning

https://github.com/coodest/highwayRL

공식 코드

Highway Graph to Accelerate Reinforcement Learning

https://github.com/cool-rr/chicken-coop

공식 코드

Emergent Dominance Hierarchies in Reinforcement Learning Agents

https://github.com/cooper-org/cooper

공식 코드

Active Reinforcement Learning for Robust Building Control

https://github.com/cooperativex/socialjax

공식 코드

SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas

https://github.com/corail-research/SeaPearl.jl

공식 코드

SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning

https://github.com/corentinlger/er-mrl

공식 코드

Evolving Reservoirs for Meta Reinforcement Learning

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

공식 코드

CORL: Research-oriented Deep Offline Reinforcement Learning Library

https://github.com/corl-team/ad-eps

공식 코드

Emergence of In-Context Reinforcement Learning from Noise Distillation

https://github.com/corl-team/headless-ad

공식 코드

In-Context Reinforcement Learning for Variable Action Spaces

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

공식 코드

Katakomba: Tools and Benchmarks for Data-Driven NetHack

https://github.com/corl-team/xland-minigrid

공식 코드

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX

https://github.com/cp-lab-uts/reinforcement-unlearning

공식 코드

Reinforcement Unlearning

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