KempnerInstitute / nicewebrlLinks
NiceWebRL is a Python library for quickly making human subject experiments that leverage machine reinforcement learning environments.
☆76Updated last month
Alternatives and similar repositories for nicewebrl
Users that are interested in nicewebrl are comparing it to the libraries listed below
Sorting:
- Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".☆23Updated last year
- Code and data for People construct simplified mental representations to plan☆23Updated 2 years ago
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆26Updated 6 years ago
- ☆20Updated last year
- A library for neuroscience-inspired navigation and decision making research.☆210Updated 11 months ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- A repository for major/influential FEP and active inference papers.☆215Updated 4 years ago
- Predictive coding in Python☆70Updated last year
- ☆28Updated 6 years ago
- Code for our NeurIPS 2021 paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains☆22Updated 2 years ago
- Tutorials on learning and using successor representations.☆54Updated 6 years ago
- Deep active inference agents using Monte-Carlo methods☆96Updated 6 months ago
- Models of Sequential Decision-Making☆52Updated 11 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆160Updated 2 years ago
- ☆41Updated 3 years ago
- Object Centric Atari games☆96Updated 3 weeks ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- Animal-AI 3☆65Updated 2 years ago
- Reinforcement Learning through Active Inference☆78Updated 5 years ago
- PAIRED in PyTorch 🔥☆64Updated 2 years ago
- Code for procedurally synthesizing PHASE animations☆16Updated 3 years ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆168Updated 3 years ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- Free Energy Principle and Active Inference tutorials for newbies☆50Updated 5 years ago
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆38Updated 5 months ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆36Updated 5 years ago
- ☆20Updated 7 months ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆145Updated 4 years ago
- Collection of resources on plasticity loss in deep reinforcement learning☆23Updated last year
- Benchmarking RL generalization in an interpretable way.☆173Updated last month