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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/tensorflow/models/tree/master/research/deep_contextual_bandits

Parameter Space Noise for Exploration

https://github.com/tensorforce/tensorforce

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

https://github.com/tensorpack/tensorpack/tree/master/examples/A3C-Gym

Asynchronous Methods for Deep Reinforcement Learning

https://github.com/tensorpack/tensorpack/tree/master/examples/DeepQNetwork

Playing Atari with Deep Reinforcement Learning

https://github.com/tenvinc/CS4246-Project

Deep Q-learning from Demonstrations

https://github.com/teo-sl/DPLAN_pytorch

Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data

https://github.com/terne/dtuproject

Deep Reinforcement Learning for Programming Language Correction

https://github.com/tfolkman/deep-learning-experiments

Deep Reinforcement Learning for Dialogue Generation

https://github.com/thainv0212/re-ddpg

Continuous control with deep reinforcement learning

https://github.com/theSparta/off_policy_mujoco

Off-Policy Deep Reinforcement Learning without Exploration

https://github.com/theamrzaki/text_summurization_abstractive_methods

Deep Reinforcement Learning For Sequence to Sequence Models

https://github.com/thechrisyoon08/Multi-agent-reinforcement-learning

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

https://github.com/thechrisyoon08/marl

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

https://github.com/theneuralbeing/neuroevolution

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

https://github.com/thomashirtz/gym-hybrid

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

https://github.com/thomashirtz/noisy-networks

Noisy Networks for Exploration

https://github.com/thomashirtz/pytorch-soft-actor-critic

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

https://github.com/thomashirtz/soft-actor-critic

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

https://github.com/thomasslloyd/EnvironmentMonitoring

Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning

https://github.com/tiagoCuervo/CommonsGame

A multi-agent reinforcement learning model of common-pool resource appropriation

https://github.com/tianjunz/NovelD

BeBold: Exploration Beyond the Boundary of Explored Regions

https://github.com/tilkb/thermoai

Continuous control with deep reinforcement learning

https://github.com/tilos-ai-institute/mlcad-2023-fpga-macro-placement-contest

Chip Placement with Deep Reinforcement Learning

https://github.com/timoklein/car_racer

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

https://github.com/timoklein/redo

The Dormant Neuron Phenomenon in Deep Reinforcement Learning

https://github.com/tju-drl-lab/self-supervised-rl

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations

https://github.com/tkarr21/multagent-particle-envs

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

https://github.com/tkarr21/multiagent-particle-envs

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

https://github.com/tkcoding/DeepRL

Deep Reinforcement Learning with Double Q-learning

https://github.com/tkcoding/Stock_DRL

Deep Reinforcement Learning with Double Q-learning

https://github.com/tliu1997/rnac

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

https://github.com/tlohr/nfsu2-ai

Playing Atari with Deep Reinforcement Learning

https://github.com/tmjeong1103/RL_with_RAY

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

https://github.com/toni-sm/skrl

Playing Atari with Deep Reinforcement Learning

https://github.com/tophatraptor/si-transfer

Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

https://github.com/torchjd/torchjd

Gradient Surgery for Multi-Task Learning

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