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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/edwardwardward/crypto_ml

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

https://github.com/efancher/cs234_work_final_project

Scalable Coordinated Exploration in Concurrent Reinforcement Learning

https://github.com/efg59/Rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

https://github.com/egiob/diversityisallyouneed-sb3

Diversity is All You Need: Learning Skills without a Reward Function

https://github.com/egipcy/LIRD

Deep Reinforcement Learning for List-wise Recommendations

https://github.com/eikonal-equation/Bayesian-Surveillance-Evasion

Surveillance Evasion Through Bayesian Reinforcement Learning

https://github.com/elicassion/3dtrl

Time-Contrastive Networks: Self-Supervised Learning from Video

https://github.com/elitalobo/Hierarchical-RL-Algorithms

The Option-Critic Architecture

https://github.com/elytopia/Info-Sec-Hammerer-and-Brunori

Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger

https://github.com/emadeldeen24/eval_ssl_ssc

Representation Learning with Contrastive Predictive Coding

https://github.com/emerge-lab/gpudrive

PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice

https://github.com/emerge-lab/nocturne_lab

Proximal Policy Optimization Algorithms

https://github.com/emi-group/evox

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning

https://github.com/emiled16/Beyond_prioritized_experience_replay

Prioritized Experience Replay

https://github.com/emiliojorge/Inventing-a-Grounded-Language

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

https://github.com/eml-eda/plinio

DARTS: Differentiable Architecture Search

https://github.com/emnlp-2021-g2r/ParlAI

ParlAI: A Dialog Research Software Platform

https://github.com/enajx/ES

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

https://github.com/enikhu/dreamer

Dream to Control: Learning Behaviors by Latent Imagination

https://github.com/enpasos/muzero

Online and Offline Reinforcement Learning by Planning with a Learned Model

https://github.com/eparisotto/ActorMimic

Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

https://github.com/epfl-ml-reproducers/subspace-attack-reproduction

Searching for A Robust Neural Architecture in Four GPU Hours

https://github.com/epignatelli/human-level-control-through-deep-reinforcement-learning

Playing Atari with Deep Reinforcement Learning

https://github.com/epsilon-deltta/ssd_guillotine

Progressive Neural Networks

https://github.com/ercumentilhan/MinAtar

MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

https://github.com/erekgit/parlai

ParlAI: A Dialog Research Software Platform

https://github.com/erfanMhi/awesome-continual-learning

Environments for Lifelong Reinforcement Learning

https://github.com/erfanMhi/awesome-continual-representation-learning

Environments for Lifelong Reinforcement Learning

https://github.com/eric-erki/robotics-rl-srl

Simple random search provides a competitive approach to reinforcement learning

https://github.com/eric-mitchell/macaw-min

Offline Meta-Reinforcement Learning with Advantage Weighting

https://github.com/eric-xw/AREL

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling

https://github.com/eric-yim/fin_map

A Distributional Perspective on Reinforcement Learning

https://github.com/ericborn/binarybot

StarCraft II: A New Challenge for Reinforcement Learning

https://github.com/ericchen321/ros_x_habitat

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

https://github.com/erickgalinkin/dropout_privacy

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

https://github.com/erickrosete/tacorl

Latent Plans for Task-Agnostic Offline Reinforcement Learning

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