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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://bitbucket.org/RLinRL/intelligenttrainerpublic

공식 코드

Intelligent Trainer for Model-Based Reinforcement Learning

https://bitbucket.org/RToroIcarte/qrm

공식 코드

Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning

https://bitbucket.org/ZimingLi/dg-irl-aaai2019

공식 코드

Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning

https://bitbucket.org/act-lab/release

공식 코드

Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation

https://bitbucket.org/catk1ns0n/repr_public

공식 코드

Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting

https://bitbucket.org/cltl/redep-java

공식 코드

Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing

https://bitbucket.org/helges/retecs

공식 코드

Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration

https://bitbucket.org/scee_ietr/malin-multi-armed-bandit-learning-for-iot-networks-with-grc

공식 코드

Reinforcement Learning for Physical Layer Communications

https://bitbucket.org/thiagomestrado/journalarticle

공식 코드

Heuristics, Answer Set Programming and Markov Decision Process for Solving a Set of Spatial Puzzles

https://bitbucket.org/tsendeemts/mnm

공식 코드

Metalearned Neural Memory

https://github.com/011235813/SEPT

공식 코드

Single Episode Policy Transfer in Reinforcement Learning

https://github.com/011235813/cm3

공식 코드

CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning

https://github.com/011235813/hierarchical-marl

공식 코드

Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

https://github.com/011235813/marl-amr

공식 코드

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement

https://github.com/1jsingh/semantic-guidance

공식 코드

Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings

https://github.com/2019chengong/offline_rl_poisoner

공식 코드

BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets

https://github.com/2019chengong/trajdeleter

공식 코드

TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents

https://github.com/2023annonymousauthor/csve

공식 코드

Conservative State Value Estimation for Offline Reinforcement Learning

https://github.com/2Groza/PCHID_code

공식 코드

Policy Continuation with Hindsight Inverse Dynamics

https://github.com/32af3611/ai4mat-neurips-workshop-2022

공식 코드

Actively Learning Costly Reward Functions for Reinforcement Learning

https://github.com/42jaylonw/rrc2021threewolves

공식 코드

Real-World Dexterous Object Manipulation based Deep Reinforcement Learning

https://github.com/4thhia/differential_TD

공식 코드

A Temporal Difference Method for Stochastic Continuous Dynamics

https://github.com/5vision/DARQN

공식 코드

Deep Attention Recurrent Q-Network

https://github.com/7777777cc/code

공식 코드

BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning

https://github.com/846468230/RoSGAS

공식 코드

RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search

https://github.com/98k-bot/GAN-Assisted-Preference-Based-Learning

공식 코드

Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach

https://github.com/99andBeyond/Apollo1060

공식 코드

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

https://github.com/99andBeyond/max-bellman-toy

공식 코드

Maximum Reward Formulation In Reinforcement Learning

https://github.com/A2R-Lab/Just-Round

공식 코드

Just Round: Quantized Observation Spaces Enable Memory Efficient Learning of Dynamic Locomotion

https://github.com/AI4Finance-Foundation/FinRL

공식 코드

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

https://github.com/AIRLab-POLIMI/mushroom-rl

공식 코드

MushroomRL: Simplifying Reinforcement Learning Research

https://github.com/ALRhub/fancy_gym

공식 코드

Deep Black-Box Reinforcement Learning with Movement Primitives

https://github.com/AMR-/JackalCrowdEnv

공식 코드

XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees

https://github.com/ASU-APG/Targeted-Physical-Adversarial-Attacks-on-AD

공식 코드

Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns

https://github.com/AVSLab/bsk_rl

공식 코드

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey

https://github.com/Aakriti05/Prop-Fail-Detect-Control-RL

공식 코드

Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning

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