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Skoltech / AIRI
- Russia, Moscow
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Challenging Memory-based Deep Reinforcement Learning Agents
Awesome In-Context RL: A curated list of In-Context Reinforcement Learning
Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"
A collection of MARL benchmarks based on TorchRL
Hackable pure-torch implementation of diffusion models
Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
The official repo for the paper "In-Context Imitation Learning via Next-Token Prediction"
From Imitation to Refinement -- Residual RL for Precise Visual Assembly
LayoutFlow: Flow Matching for Layout Generation [Andrade Guerreiro et al., ECCV 2024]
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
📦 Python library for Stochastic Processes Simulation and Visualisation
TorchCFM: a Conditional Flow Matching library
ALIEN is a CUDA-powered artificial life simulation program.
Minimal implementation of scalable rectified flow transformers, based on SD3's approach
Simple and readable code for training and sampling from diffusion models
A grid world environment for high-level earthworks planning in JAX for RL.
JAX-based environments and RL baselines for studying goal misgeneralisation.
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
🔥🔥🔥A curated list of papers on recent diffusion-based high-resolution image and video synthesis works.
Datasets with baselines for offline multi-agent reinforcement learning.
Clean single-file implementation of offline RL algorithms in JAX