Cognitive-AI-Systems / him-agentLinks
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 6 months ago
Alternatives and similar repositories for him-agent
Users that are interested in him-agent are comparing it to the libraries listed below
Sorting:
- ☆16Updated last year
- ☆16Updated last year
- ☆19Updated 2 months ago
- Modular and Hierachical RL baseline solution for the IGLU RL track @ NeurIPS 2022☆20Updated 3 years ago
- Vintix: Action Model via In-Context Reinforcement Learning - - — ICML 2025☆42Updated 3 months ago
- ☆13Updated last year
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆41Updated 2 years ago
- The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization" (ICLR 2025)☆27Updated 6 months ago
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆76Updated 2 years ago
- [ICLR-2025] POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specif…☆240Updated 3 weeks ago
- This repository contains a deep learning-based approach for improving A* search efficiency on grid graphs. By learning instance-dependent…☆23Updated last year
- ☆15Updated last year
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆78Updated 7 months ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…☆37Updated 4 months ago
- ☆40Updated 3 years ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆56Updated 2 years ago
- We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning☆40Updated 3 months ago
- Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023☆53Updated 2 years ago
- An Open-Ended Agentic Simulator☆52Updated last year
- Giving Up Control: Neurons as Reinforcement Learning Agents☆13Updated last year
- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️☆301Updated 3 weeks ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆20Updated 10 months ago
- ☆14Updated last year
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆30Updated last year
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆35Updated last year
- [ICML 2025 GenBio Workshop] Official Implementation for "Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentia…☆16Updated 3 months ago
- Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"☆91Updated 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
- Accelerated minigrid environments with JAX☆147Updated 2 weeks ago