alec-tschantz / rl-inferenceLinks
Reinforcement Learning through Active Inference
☆78Updated 5 years ago
Alternatives and similar repositories for rl-inference
Users that are interested in rl-inference are comparing it to the libraries listed below
Sorting:
- Deep active inference agents using Monte-Carlo methods☆95Updated 5 months ago
- ☆26Updated 4 years ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆26Updated 5 years ago
- [NeurIPS 2021] World modelling and action learning using a contrastive formulation of the active inference framework, for reaching visual…☆13Updated last year
- Tutorials on learning and using successor representations.☆54Updated 6 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆36Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆52Updated 2 years ago
- A repository for major/influential FEP and active inference papers.☆212Updated 4 years ago
- ☆52Updated 2 years ago
- Repository for "Learning action-oriented models through active inference"☆12Updated 5 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆75Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆154Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- PlaNet: Learning Latent Dynamics for Planning from Pixels☆10Updated 5 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆338Updated last year
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- Benchmarking RL generalization in an interpretable way.☆169Updated 2 weeks ago
- Partially Observable Process Gym☆207Updated 5 months ago
- Code and data for People construct simplified mental representations to plan☆23Updated 2 years ago
- Deep Successor Representation☆18Updated 7 years ago
- Free Energy Principle and Active Inference tutorials for newbies☆50Updated 5 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year