A PyTorch-powered differentiable image reconstruction/optimization toolbox
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Sep 12, 2026 - Python
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Model-based Reinforcement Learning Framework
reinforcement-learning reinforcement-learning-algorithms model-based model-based-rl model-based-reinforcement-learning
A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.
visualization benchmarking simulator reinforcement-learning planner simulation visualisation planning visualizer gym benchmark-framework gymnasium evaluation-framework benchmarking-framework planning-domain-definition-language model-based planners gym-environments rddl rddl-domains
Skill-based Model-based Reinforcement Learning (CoRL 2022)
CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
reinforcement-learning deep-learning deep-reinforcement-learning deep-learning-algorithms rl codebase mujoco model-based ppo
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
fourier artifacts regularization tomography reconstruction admm inverse-problems x-ray fista cupy multigpu model-based regularisation astra-toolbox tomographic-reconstruction
This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation
deep-learning collaborative-filtering recommendation-system recommendation-engine recommendation recommender-systems model-based recommenders group-recommendations memory-based recommender-engine group-recommender-systems
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
agent wrapper natural-language-processing reinforcement-learning robotics simulation cup rainbow pytorch a3c transfer-learning cups multi-task-learning model-based model-free simulated-environments natural-language-instructions ai2thor-environment openai-gym-interface
Model-based Policy Gradients
reinforcement-learning openai-gym pytorch computation-graph gym policy-gradient finite-difference backpropagation computational-graphs mujoco model-based ilqg ilqr ilqg-mujoco mujoco-py policy-gradients policy-optimization direct-policy-search mujoco-dynamics
Code release for SceneReplica paper.
[RSS 2026] Model-Based Diffusion Optimal Control for Multi-Robot Motion Planning
Expert Advisor based on Falcon Template and kNN trading algorithm
reinforcement-learning artificial-intelligence self-learning udemy-tutorial decision-support-system model-based knn-classifier mt4-ea udemycourse trading-robot
[TIFS 2019] Skeleton-based Gait Recognition via Robust Frame-level Matching (RFM)
skeleton matlab identification pose-estimation gait biometric model-based gait-analysis 3d-points gait-recognition tifs skeleton-based linear-matching frame-level frame-level-matching upcvgait sdugait cilgait two-stage majority-voting
Development and simulation framework for Application Specific Vector Processor
data-driven dsp architecture simd simulation-framework digital-signal-processing cycle-accurate systemc model-based network-on-chip heterogeneous-computing vector-processor single-instruction-multiple-data asip application-specific system-simulation vector-core heterogeneous-structure system-level-simulation multimode-processing
Model-based tomographic reconstruction for different acquisition geometries
This project involves using Simulink to create a comprehensive battery model that incorporates both charging and discharging resistances. By accurately simulating battery behavior under different conditions, the model can help optimize battery performance and prolong its lifespan.
Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
deep-learning mri registration alignment motion-correction cardiac model-based t1-mapping myocardial physically-constrained
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