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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/kchua/handful-of-trials
공식 코드Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
https://github.com/kclary/variability-RL
공식 코드Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments
https://github.com/kdally/fault-tolerant-flight-control-drl
공식 코드Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control
https://github.com/kdkyum/RatchetDRL
공식 코드Deep reinforcement learning for feedback control in a collective flashing ratchet
https://github.com/kdl-umass/xai-interventional-robustness
공식 코드Measuring Interventional Robustness in Reinforcement Learning
https://github.com/kelvinguu/lang2program
공식 코드From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
https://github.com/kenchan0226/keyphrase-generation-rl
공식 코드Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards
https://github.com/kengz/SLM-Lab
공식 코드https://github.com/kenjyoung/MinAtar
공식 코드MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments
https://github.com/kenjyoung/model_generalization_code_supplement
공식 코드The Benefits of Model-Based Generalization in Reinforcement Learning
https://github.com/kepei1106/ARAML
공식 코드ARAML: A Stable Adversarial Training Framework for Text Generation
https://github.com/keqinw/man
공식 코드https://github.com/keraJLi/synthetic-gymnax
공식 코드https://github.com/kevinghst/lightweight_rl_probe
공식 코드Light-weight probing of unsupervised representations for Reinforcement Learning
https://github.com/kevinkoo001/ropf
공식 코드https://github.com/kevslinger/dtqn
공식 코드Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
https://github.com/keynans/HypeRL
공식 코드Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
https://github.com/keyshor/dirl
공식 코드Compositional Reinforcement Learning from Logical Specifications
https://github.com/keyshor/spectrl_tool
공식 코드A Composable Specification Language for Reinforcement Learning Tasks
https://github.com/khalednakhleh/NeurWIN
공식 코드NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
https://github.com/khalil-research/matrix-mult-cp
공식 코드Fast Matrix Multiplication Without Tears: A Constraint Programming Approach
https://github.com/khanhptnk/bandit-nmt
공식 코드Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
https://github.com/kibeomkim/gace-gdan
공식 코드Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
https://github.com/kidist-amde/ddro
공식 코드Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
https://github.com/kidist-amde/ddro-direct-document-relevance-optimization
공식 코드Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
https://github.com/kinalmehta/epymarl_spectral
공식 코드Effects of Spectral Normalization in Multi-agent Reinforcement Learning
https://github.com/kinalmehta/marl-jax
공식 코드https://github.com/kindredresearch/SenseAct
공식 코드Benchmarking Reinforcement Learning Algorithms on Real-World Robots
https://github.com/kindredresearch/arp
공식 코드Autoregressive Policies for Continuous Control Deep Reinforcement Learning
https://github.com/kinds-of-intelligence-cfi/animal-ai
공식 코드https://github.com/kinds-of-intelligence-cfi/llm-aai
공식 코드https://github.com/kinjalbasu/explorer
공식 코드EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning
https://github.com/kirkegaardlab/chemoxrl
공식 코드Learning optimal integration of spatial and temporal information in noisy chemotaxis
https://github.com/kishanpb/RobustRL
공식 코드Sample Complexity of Robust Reinforcement Learning with a Generative Model
https://github.com/kittykg/neural-dnf-mt-policy-learning
공식 코드Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.