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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/sjoshi804/CS-267A-Final-Project

Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

https://github.com/sjoshi804/hierarchical-darts-neural-architecture-search

DARTS: Differentiable Architecture Search

https://github.com/sjunhongshen/Deterministic-Control-in-Metric-Space

Learning to Control in Metric Space with Optimal Regret

https://github.com/sjunhongshen/Referential-Game

Emergence of Pragmatics from Referential Game between Theory of Mind Agents

https://github.com/skmda37/shearletx

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

https://github.com/skumar9876/FCRL

Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning

https://github.com/skyepodium/DeepLearning-Everywhere

OpenAI Gym

https://github.com/sliao-mi-luku/DeepRL-multiple-agents-tennis-udacity-drlnd-p3

Continuous control with deep reinforcement learning

https://github.com/slowjazz/interactive-atari-RL

Visualizing and Understanding Atari Agents

https://github.com/smearle/control-pcgrl

PCGRL: Procedural Content Generation via Reinforcement Learning

https://github.com/smearle/gym-pcgrl

PCGRL: Procedural Content Generation via Reinforcement Learning

https://github.com/smj007/Breakout_A3C

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/smrjan/robotic-vision

Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods

https://github.com/snasiriany/leap

Planning with Goal-Conditioned Policies

https://github.com/snhwang/p1_navigation_SNH

Prioritized Experience Replay

https://github.com/snhwang/p2-continuous-control-SNH

Prioritized Experience Replay

https://github.com/snhwang/p3_collab-compet

Prioritized Experience Replay

https://github.com/snu-mllab/edac

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

https://github.com/social-dilemma/multiagent

Multi-agent Reinforcement Learning in Sequential Social Dilemmas

https://github.com/sociodouble/Machine-Learning

Unity: A General Platform for Intelligent Agents

https://github.com/songhan/DSD

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

https://github.com/songhan/SqueezeNet-Residual

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

https://github.com/songrotek/DDPG

Continuous control with deep reinforcement learning

https://github.com/soumik12345/DDPG

Continuous control with deep reinforcement learning

https://github.com/soumik12345/Twin-Delayed-DDPG

Addressing Function Approximation Error in Actor-Critic Methods

https://github.com/souravchk25/alg-game-theory-project

Generalized Second Order Value Iteration in Markov Decision Processes

https://github.com/sourenaKhanzadeh/snakeAi

Playing Atari with Deep Reinforcement Learning

https://github.com/souvikshanku/HexapawnZero

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

https://github.com/sparkmxy/my-offlinerl

Off-Policy Deep Reinforcement Learning without Exploration

https://github.com/sparsh-ai/RecommenderSystems

Ekar: An Explainable Method for Knowledge Aware Recommendation

https://github.com/spitis/mrl

Counterfactual Data Augmentation using Locally Factored Dynamics

https://github.com/spragunr/deep_q_rl

Playing Atari with Deep Reinforcement Learning

https://github.com/sradicwebster/mbrl-lib

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

https://github.com/sriharsha-sreenatha/CSCI596_FinalProject

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

https://github.com/ssainz/reinforcement_learning_algorithms

Deep Reinforcement Learning with Double Q-learning

https://github.com/sseol11/ParlAI_blender

ParlAI: A Dialog Research Software Platform

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.