sencheng / CoBeL-RLLinks
Closed-loop simulator of complex behavior and learning based on reinforcement learning and deep neural networks
☆10Updated last month
Alternatives and similar repositories for CoBeL-RL
Users that are interested in CoBeL-RL are comparing it to the libraries listed below
Sorting:
- Giving Up Control: Neurons as Reinforcement Learning Agents☆13Updated last year
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆26Updated 5 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- Free Energy Principle and Active Inference tutorials for newbies☆50Updated 5 years ago
- Reinforcement learning with a network of spiking agents☆21Updated 5 years ago
- Reinforcement Learning through Active Inference☆78Updated 5 years ago
- Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent model…☆20Updated last year
- PyTorch implementation of DeepMind's "Human-level control through deep reinforcement learning"☆18Updated 5 years ago
- Deep active inference agents using Monte-Carlo methods☆95Updated 6 months ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.☆85Updated 2 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
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆145Updated 4 years ago
- [NeurIPS 2021] World modelling and action learning using a contrastive formulation of the active inference framework, for reaching visual…☆14Updated last year
- Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆20Updated 3 years ago
- Deep Successor Representation☆18Updated 7 years ago
- [IROS2020] Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas☆10Updated 2 years ago
- A PyTorch Implementation of PlaNet: A Deep Planning Network for Reinforcement Learning☆12Updated 5 years ago
- ☆12Updated 3 years ago
- ☆26Updated 4 years ago
- Implementation of Proximal Policy Optimization in Jax+Flax☆21Updated 2 years ago
- Neural Ordinary Differential Equations for Reinforcement Learning☆25Updated 2 years ago
- Tutorials on learning and using successor representations.☆54Updated 6 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- ☆41Updated 3 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆16Updated 5 years ago
- Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)☆12Updated 2 years ago
- Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment☆14Updated 8 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆75Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago