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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/CampusAI/Hamiltonian-Generative-Networks

Hamiltonian Generative Networks

https://github.com/CankayaUniversity/ceng-407-408-License-Plate-Recognition-Using-Deep-Learning

Playing Atari with Deep Reinforcement Learning

https://github.com/CausalML/IntrinsicallyEfficientStableOPE

Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning

https://github.com/Cejkis/I2A-Cejkis

Imagination-Augmented Agents for Deep Reinforcement Learning

https://github.com/Chan1998/MAAC

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

https://github.com/ChangyWen/wolpertinger_ddpg

Deep Reinforcement Learning in Large Discrete Action Spaces

https://github.com/Charlesthebird/BOXES-DroneDelivery-ML-Agents

Unity: A General Platform for Intelligent Agents

https://github.com/CharlotteMorrison/Baxter-Research

Prioritized Experience Replay

https://github.com/CharlotteMorrison/Baxter-VREP

Prioritized Experience Replay

https://github.com/CharlotteMorrison/Baxter-VREP-Version-2

Prioritized Experience Replay

https://github.com/ChengshuLi/HRL4IN

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

https://github.com/Chenkehan21/Adversarial-Attack-RL

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

https://github.com/Christopheraburns/openai-gym

OpenAI Gym

https://github.com/ChristosKap/policy_consolidation

Policy Consolidation for Continual Reinforcement Learning

https://github.com/Clement-Hui/Q-Learning

Prioritized Experience Replay

https://github.com/Cloud-CV/Grad-CAM

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/Clyde21c/PEARL_bullet

Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

https://github.com/Coac/never-give-up

Never Give Up: Learning Directed Exploration Strategies

https://github.com/CocoJam/MAML

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

https://github.com/Codernauti/Exploration-of-DQN-in-CartPole-Environment

Deep Reinforcement Learning with Double Q-learning

https://github.com/CoffeeddCat/Multiagent_chainMDP

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

https://github.com/ComarPers922/AI-based-3D-Game-Simulator

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

https://github.com/ContinualAI/avalanche

Progressive Neural Networks

https://github.com/Cremiy/visdial-rl

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

https://github.com/Crevass/Hybrid-Agent

Continuous control with deep reinforcement learning

https://github.com/Curt-Park/rainbow-is-all-you-need

Playing Atari with Deep Reinforcement Learning

https://github.com/D-X-Y/AutoDL-Projects

DARTS: Differentiable Architecture Search

https://github.com/D-X-Y/GDAS

DARTS: Differentiable Architecture Search

https://github.com/DHDev0/Muzero-unplugged

Online and Offline Reinforcement Learning by Planning with a Learned Model

https://github.com/DMIU-ShELL/MOSAIC

Proximal Policy Optimization Algorithms

https://github.com/DSobscure/cgi_drl_platform

Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games

https://github.com/Daffan/ros_jackal

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation

https://github.com/DalBigData/Vessel-RL-Environment

Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments

https://github.com/Dalkio/RL_rubiks

Solving the Rubik's Cube Without Human Knowledge

https://github.com/Damcy/prioritized-experience-replay

Prioritized Experience Replay

https://github.com/DanielLSM/safe-rl-tutorial

Continuous control with deep reinforcement learning

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