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Reinforcement Learning

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/stepjam/ARM

공식 코드

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

https://github.com/stepjam/BPP

공식 코드

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

https://github.com/stepjam/PyRep

공식 코드

PyRep: Bringing V-REP to Deep Robot Learning

https://github.com/stepjam/RLBench

공식 코드

RLBench: The Robot Learning Benchmark & Learning Environment

https://github.com/stevenmsm/rl-icu-daqn

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Deep Attention Q-Network for Personalized Treatment Recommendation

https://github.com/sticky-mittens/code

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Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates

https://github.com/stiglidu/autotruss

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Automatic Truss Design with Reinforcement Learning

https://github.com/stillwolf/acsf-snn

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A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning

https://github.com/stilwell-git/adaptation-with-noisy-oracle

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Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation

https://github.com/stilwell-git/randomized-return-decomposition

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Learning Long-Term Reward Redistribution via Randomized Return Decomposition

https://github.com/strath-ace/smart-ml

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A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines

https://github.com/struplm/eudrl-gcsl-odt-convergence-public

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On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers

https://github.com/subho406/Recurrent-Linear-Transformers

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AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning

https://github.com/subho406/agalite

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AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning

https://github.com/submission-conf/neurips_cooperativeai

공식 코드

Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-Tat

https://github.com/submit-paper/Danzero_plus

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DanZero+: Dominating the GuanDan Game through Reinforcement Learning

https://github.com/submit-paper/doudizhu

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DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning

https://github.com/success-muri/counterfactual_human_irl

공식 코드

Reasoning about Counterfactuals to Improve Human Inverse Reinforcement Learning

https://github.com/success-muri/counterfactual_human_irl_study

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Reasoning about Counterfactuals to Improve Human Inverse Reinforcement Learning

https://github.com/sujoyp/subgoal-discovery

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Learning from Trajectories via Subgoal Discovery

https://github.com/sukiboo/hyperpersonalization

공식 코드

On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks

https://github.com/sukiboo/policy_entropy

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Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks

https://github.com/sultanalnahian/Reverse-Frogger-A3PS

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Influencing Reinforcement Learning through Natural Language Guidance

https://github.com/sumitsk/matrl

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Learning Transferable Cooperative Behavior in Multi-Agent Teams

https://github.com/sunblaze-ucb/intuitor

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Learning to Reason without External Rewards

https://github.com/sunblaze-ucb/rl-generalization

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Assessing Generalization in Deep Reinforcement Learning

https://github.com/suneelbelkhale/model-based-meta-rl-for-flight

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Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads

https://github.com/sunwoolee0504/wall

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Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning

https://github.com/suquark/hoplite

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Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems

https://github.com/sureli/laber

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Large Batch Experience Replay

https://github.com/sureli/rrls

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RRLS : Robust Reinforcement Learning Suite

https://github.com/sureli/sgqn

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Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning

https://github.com/susanbao/rmarl_code

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What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?

https://github.com/sustechgameai/dorl

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Reinforcement Learning with Dual-Observation for General Video Game Playing

https://github.com/sustechgameai/mfedrl

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State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning

https://github.com/suyoung-lee/Episodic-Backward-Update

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Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update

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