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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/joeybose/FloRL

공식 코드

Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies

https://github.com/johannbrehmer/ginkgo-rl

공식 코드

Hierarchical clustering in particle physics through reinforcement learning

https://github.com/johannes-dornheim/Reinforce-FE

공식 코드

Model-Free Adaptive Optimal Control of Episodic Fixed-Horizon Manufacturing Processes using Reinforcement Learning

https://github.com/johannes-dornheim/gtlo

공식 코드

gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach

https://github.com/johannesack/offlinerlstructurednonstationarity

공식 코드

Offline Reinforcement Learning from Datasets with Structured Non-Stationarity

https://github.com/johannlussange/symba_crypto

공식 코드

Modelling crypto markets by multi-agent reinforcement learning

https://github.com/johnlyzhou/reciprocator

공식 코드

Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents

https://github.com/jolibrain/wheatley

공식 코드

Learning to Solve Job Shop Scheduling under Uncertainty

https://github.com/jonasnuesslein/cb-irl

공식 코드

Case-Based Inverse Reinforcement Learning Using Temporal Coherence

https://github.com/jonasrothfuss/promp

공식 코드

ProMP: Proximal Meta-Policy Search

https://github.com/jongornet14/HyperController

공식 코드

HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks

https://github.com/joonaspu/video-game-behavioural-cloning

공식 코드

Benchmarking End-to-End Behavioural Cloning on Video Games

https://github.com/joshprk/agentrec

공식 코드

AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback

https://github.com/josselinsomervilleroberts/ptsl

공식 코드

Projected Task-Specific Layers for Multi-Task Reinforcement Learning

https://github.com/jparkerholder/DvD_ES

공식 코드

Effective Diversity in Population Based Reinforcement Learning

https://github.com/jparkerholder/PB2

공식 코드

Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits

https://github.com/jqueeney/gpi

공식 코드

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse

https://github.com/jqueeney/robust-safe-rl

공식 코드

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees

https://github.com/jrayzhang6/CFR-RL

공식 코드

CFR-RL: Traffic Engineering with Reinforcement Learning in SDN

https://github.com/jren03/garage

공식 코드

Hybrid Inverse Reinforcement Learning

https://github.com/jrobine/twm

공식 코드

Transformer-based World Models Are Happy With 100k Interactions

https://github.com/jsather/harvester-sim

공식 코드

Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning

https://github.com/jschalmers/ae-based-wdm-transceivers

공식 코드

Model-Based End-to-End Learning for WDM Systems With Transceiver Hardware Impairments

https://github.com/jshe/agent-time-attention

공식 코드

Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning

https://github.com/jstork/BNET-GECCO21

공식 코드

Behavior-based Neuroevolutionary Training in Reinforcement Learning

https://github.com/jtbish/ppsn2020

공식 코드

Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning

https://github.com/juancamilog/kusanagi

공식 코드

Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning

https://github.com/juancamilog/robot_learning

공식 코드

Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning

https://github.com/juhgiyo/deepsim

공식 코드

DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo

https://github.com/juhyeonkim95/TaxiSimulatorOnGraph

공식 코드

Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network

https://github.com/julencestero/storehouse

공식 코드

Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management

https://github.com/julia-lina-tan/ot-policy-fusion

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Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills

https://github.com/juliusfrost/cfrl-rllib

공식 코드

Explaining Reinforcement Learning Policies through Counterfactual Trajectories

https://github.com/juliusott/uncertainty-buffer

공식 코드

MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling

https://github.com/junfanlin/camad

공식 코드

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis

https://github.com/junfanlin/continuous-transition

공식 코드

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp

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