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 2 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
- ☆20Updated 3 weeks ago
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆43Updated 2 years ago
- Modular and Hierachical RL baseline solution for the IGLU RL track @ NeurIPS 2022☆20Updated 3 years ago
- The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization" (ICLR 2025)☆26Updated 9 months ago
- ☆15Updated last year
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆40Updated last year
- Vintix: Action Model via In-Context Reinforcement Learning - - — ICML 2025☆44Updated 6 months ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆81Updated 10 months ago
- [ICLR-2025] POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specif…☆251Updated last month
- An Open-Ended Agentic Simulator☆56Updated last year
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆76Updated 2 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆22Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- ☆15Updated 2 years ago
- Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization☆20Updated last week
- Environments and Algorithms for Generative Flow Networks in JAX☆75Updated 2 weeks ago
- 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
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆61Updated 2 years ago
- Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023☆55Updated 2 years ago
- Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observ…☆34Updated 5 months ago
- Neuroevolution Benchmark in JAX 🦕☆41Updated 2 years ago
- RL Environment and Benchmark pipeline. Code accompanying paper "Neurophysiologically Realistic Environment for Comparing Adaptive Deep Br…☆16Updated 4 months ago
- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️☆316Updated last week
- Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"☆91Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- Accelerated minigrid environments with JAX☆153Updated last month
- ☆41Updated 3 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆56Updated 2 years ago