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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/BY571/Normalized-Advantage-Function-NAF-

Continuous Deep Q-Learning with Model-based Acceleration

https://github.com/BY571/Soft-Actor-Critic-and-Extensions

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

https://github.com/Baichenjia/BHER

ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay

https://github.com/Bam4d/GVGAI_GYM

Deep Reinforcement Learning for General Video Game AI

https://github.com/Bhaney44/MIT_DeepTraffic

DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation

https://github.com/Bibyutatsu/Self_Driving_Car

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

https://github.com/Brandon-Rozek/DeepRL

Dueling Network Architectures for Deep Reinforcement Learning

https://github.com/Brook1711/RIS_components

Continuous control with deep reinforcement learning

https://github.com/Burntt/FinRL_Crypto

Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting

https://github.com/ByMic/PETS

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

https://github.com/CAVED123/TD-DPPO

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

https://github.com/CAVED123/Tensorforce

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

https://github.com/CAVED123/tensorforce-

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

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

Playing Atari with Deep 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/Chenkehan21/Adversarial-Attack-RL

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

https://github.com/ChristosKap/policy_consolidation

Policy Consolidation for Continual Reinforcement Learning

https://github.com/Clyde21c/PEARL_bullet

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

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

Deep Reinforcement Learning with Double Q-learning

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/DLR-RM/stable-baselines3

Playing Atari with Deep Reinforcement Learning

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/Dam930/rllab

Benchmarking Deep Reinforcement Learning for Continuous Control

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

Continuous control with deep reinforcement learning

https://github.com/DanielTakeshi/DCUR

DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning

https://github.com/DanielTakeshi/dqn

ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations

https://github.com/Dascka/dl_q-learning_comparator

Deep Reinforcement Learning that Matters

https://github.com/Dekki-Aero/DDPG

Continuous control with deep reinforcement learning

https://github.com/Denbergvanthijs/imbDRL

Deep Reinforcement Learning with Double Q-learning

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