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Deep Reinforcement Learning

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

https://github.com/rrags/ProtoX_NeurIPS

ProtoX: Explaining a Reinforcement Learning Agent via Prototyping

https://github.com/rsilveira79/intents_uncertainty

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

https://github.com/russellmendonca/maesn_suite

Benchmarking Deep Reinforcement Learning for Continuous Control

https://github.com/ryan-dorazio/mmd-dilated

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games

https://github.com/ryanp73/ChessAI

Giraffe: Using Deep Reinforcement Learning to Play Chess

https://github.com/rybread1/DeepRlTrex

Deep Reinforcement Learning with Double Q-learning

https://github.com/rybread1/deep-rl-trex

Deep Reinforcement Learning with Double Q-learning

https://github.com/s-sd/task-amenability

Continuous control with deep reinforcement learning

https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning

Financial Trading as a Game: A Deep Reinforcement Learning Approach

https://github.com/safe-rl-team/viper-verifiable-rl-impl

Verifiable Reinforcement Learning via Policy Extraction

https://github.com/safe-slac/safe-slac

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

https://github.com/saha0073/Deep-Reinforcement-Learning-to-play-Cartpole

Playing Atari with Deep Reinforcement Learning

https://github.com/saikrishna-1996/deep_pepper_chess

Giraffe: Using Deep Reinforcement Learning to Play Chess

https://github.com/sainijagjit/A3C-Pytorch

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/salesforce/codet5

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

https://github.com/samadiamir/IE2E

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

https://github.com/samiranrl/ODSC_2019_RL

Continuous control with deep reinforcement learning

https://github.com/samuel500/World-Models

Deep Neuroevolution of Recurrent and Discrete World Models

https://github.com/samuelmat19/DDPG-tf2

Continuous control with deep reinforcement learning

https://github.com/saoudh/Reinforcement-Learning

Continuous control with deep reinforcement learning

https://github.com/sarahisyoung/rlpyt

Accelerated Methods for Deep Reinforcement Learning

https://github.com/saschaschramm/Pong

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

https://github.com/sayantanauddy/hierarchical_bipedal_controller

Continuous control with deep reinforcement learning

https://github.com/sb-ai-lab/RePlay

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling

https://github.com/schatty/D4PG-pytorch

Continuous control with deep reinforcement learning

https://github.com/schroederdewitt/multiagent-particle-envs

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

https://github.com/sea-snell/implicit-language-q-learning

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

https://github.com/seacevedo/ReinforcementLearningProjects

Deep Reinforcement Learning with Double Q-learning

https://github.com/seanpmorgan/tf-weightnorm

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

https://github.com/sebastianrisi/dip

Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures

https://github.com/semitable/multiagent-particle-envs

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

https://github.com/semitable/robotic-warehouse

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

https://github.com/sepsamavi/safe-interactive-crowdnav

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

https://github.com/seriousssam/zero-shot-task-generalization-implementation

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning

https://github.com/seungjaeryanlee/combined-experience-replay

A Deeper Look at Experience Replay

https://github.com/seungjaeryanlee/osim-rl-helper

Continuous control with deep reinforcement learning

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