https://github.com/junfanlin/continuous-transition
공식 코드Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp
Papers with Code 아카이브
Deep Reinforcement Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/junfanlin/denselight
공식 코드DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback
https://github.com/junhyukoh/value-prediction-network
공식 코드https://github.com/jupilogy/swoks
공식 코드Statistical Context Detection for Deep Lifelong Reinforcement Learning
https://github.com/jviquerat/beacon
공식 코드Beacon, a lightweight deep reinforcement learning benchmark library for flow control
https://github.com/jvking/reddit-RL-simulator
공식 코드Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads
https://github.com/jx-wang-s-group/apt-rl
공식 코드https://github.com/jyf588/lrle
공식 코드Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
https://github.com/jyf588/lrle-rl-examples
공식 코드Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
https://github.com/k4ntz/activation-functions
공식 코드Adaptive Rational Activations to Boost Deep Reinforcement Learning
https://github.com/k4ntz/oc_atari
공식 코드OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
https://github.com/k4ntz/scobots
공식 코드Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
https://github.com/kaichiuwong/rlhps
공식 코드Weak Human Preference Supervision For Deep Reinforcement Learning
https://github.com/kaist-silab/meta-sage
공식 코드https://github.com/kaist-silab/symmetric_replay
공식 코드https://github.com/kaixin96/mixreg
공식 코드Improving Generalization in Reinforcement Learning with Mixture Regularization
https://github.com/kangdj6358/emsrl
공식 코드https://github.com/karthikncode/Grounded-RL-Transfer
공식 코드Grounding Language for Transfer in Deep Reinforcement Learning
https://github.com/kasumigaoka-utaha/invit
공식 코드INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
https://github.com/katerakelly/oyster
공식 코드Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
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/kengz/SLM-Lab
공식 코드https://github.com/keqinw/man
공식 코드https://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/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/kirkegaardlab/chemoxrl
공식 코드Learning optimal integration of spatial and temporal information in noisy chemotaxis
https://github.com/kittykg/neural-dnf-mt-policy-learning
공식 코드Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
https://github.com/kiven-ykw/dhdrl
공식 코드https://github.com/knowledgedefinednetworking/DRL-GNN
공식 코드Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
https://github.com/kogler7/aoiopt
공식 코드DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.