Cognitive-AI-Systems / him-agent
The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
☆37Updated last month
Alternatives and similar repositories for him-agent:
Users that are interested in him-agent are comparing it to the libraries listed below
- ☆16Updated 6 months ago
- ☆15Updated 6 months ago
- ☆16Updated 6 months ago
- Modular and Hierachical RL baseline solution for the IGLU RL track @ NeurIPS 2022☆20Updated 2 years ago
- ☆14Updated 11 months ago
- Vintix: Action Model via In-Context Reinforcement Learning - - —☆33Updated 3 weeks ago
- The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization" (ICLR 2025)☆26Updated 3 weeks ago
- This repository contains a deep learning-based approach for improving A* search efficiency on grid graphs. By learning instance-dependent…☆23Updated 7 months ago
- This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.☆20Updated 6 months ago
- ☆33Updated 3 weeks ago
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆39Updated last year
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆217Updated 6 months ago
- A neural network training framework within a task-based parallel programming paradigm☆52Updated this week
- GOLF: Gradual Optimization Learning for Conformational Energy Minimization☆19Updated 7 months ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆31Updated 11 months ago
- eco4cast library aims to reduce carbon footprint of machine learning models with predictive cloud computing scheduling☆17Updated 7 months ago
- ☆14Updated 3 years ago
- fast wave-front prediction☆13Updated 2 years ago
- Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…☆32Updated 2 months ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - —☆66Updated last month
- Time Series Wavelet Clastering☆15Updated 5 years ago
- Deep Learning Course, Skoltech, 2024☆16Updated 9 months ago
- Skoltech NLA 2024 course.☆26Updated 3 months ago
- WaRP dataset includes labeled images of an industrial conveyor.☆19Updated last year
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆71Updated last year
- Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"☆29Updated 6 months ago
- Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"☆83Updated last year
- Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Worksho…☆21Updated 2 years ago
- Simulator for training and evaluation of Recommender Systems☆53Updated last week
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆50Updated last year