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Deep Reinforcement Learning

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코드

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

https://github.com/acyclics/MPO

Maximum a Posteriori Policy Optimisation

https://github.com/afengisme11/IAM-Reproduce

Influence-aware Memory Architectures for Deep Reinforcement Learning

https://github.com/agnesdeng/misle

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

https://github.com/ai-winter/python_motion_planning

Continuous control with deep reinforcement learning

https://github.com/ailab-pku/rl-framework

Continuous control with deep reinforcement learning

https://github.com/ailabdsunipi/pymarlzooplus

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

https://github.com/ajaysub110/rl-pytorch

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

https://github.com/akanazawa/motion_reconstruction

SFV: Reinforcement Learning of Physical Skills from Videos

https://github.com/aksub99/MolDQN-pytorch

Optimization of Molecules via Deep Reinforcement Learning

https://github.com/akterskii/rlpyt

Accelerated Methods for Deep Reinforcement Learning

https://github.com/alaalab/webcp

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

https://github.com/alathiya/RL-Quadcoptor-Flying

Continuous control with deep reinforcement learning

https://github.com/alessandrositta/Flatland_challenge

Dueling Network Architectures for Deep Reinforcement Learning

https://github.com/alexeypustynnikov/AM-VRP

A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems

https://github.com/alexfrom0815/Online-3D-BPP-PCT

Learning Practically Feasible Policies for Online 3D Bin Packing

https://github.com/alexlee-gk/slac

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

https://github.com/alexmlamb/blocks_rl_gru_setup

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/alexsax/testing_rlpyt

Accelerated Methods for Deep Reinforcement Learning

https://github.com/alhabk/SGEE--pytorch

Continuous control with deep reinforcement learning

https://github.com/aliansgp/RL-SAC-CARLA

Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

https://github.com/aliengirlliv/teachable

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

https://github.com/alirezakazemipour/ppo-rnd

Exploration by Random Network Distillation

https://github.com/allanpichardo/dontpanic

Accuracy-based Curriculum Learning in Deep Reinforcement Learning

https://github.com/allenai/allenact

AllenAct: A Framework for Embodied AI Research

https://github.com/alt113/flow-triangle-scenario

Flow: A Modular Learning Framework for Mixed Autonomy Traffic

https://github.com/aluscher/torchbeastpopart

Multi-task Deep Reinforcement Learning with PopArt

https://github.com/aman-khurana/deep-q-learning

Deep Reinforcement Learning with Double Q-learning

https://github.com/amanda-lambda/drl-experiments

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/amanda-lambda/hack-flappy-bird-drl

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/amaudruz/RL_openaigym

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/amirmirzaei79/CartPole-DQN-And-DDQN

Deep Reinforcement Learning with Double Q-learning

https://github.com/ammar-n-abbas/Predictive-Maintenance-BC-IOHMM-DRL

Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning

https://github.com/amzoyang/CS-221-Final-Project

Rainbow: Combining Improvements in Deep Reinforcement Learning

https://github.com/anagabandi/nn_dynamics

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

https://github.com/andreaslillevangbech/PortfolioManager-pytorch

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

https://github.com/andreidi/AC_DDPG_walker

Continuous control with deep reinforcement learning

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