mtrazzi / two-step-task
Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".
☆58Updated 6 years ago
Alternatives and similar repositories for two-step-task:
Users that are interested in two-step-task are comparing it to the libraries listed below
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆35Updated 4 years ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- Deep Successor Representation☆17Updated 7 years ago
- Tutorial & scripts to run a meta-rl model on DeepMind Lab's Harlow task environment.☆16Updated 6 years ago
- The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.☆37Updated 6 years ago
- A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning w…☆34Updated 5 years ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- ☆43Updated 8 years ago
- PyTorch implementation of two variants of the Harlow visual fixation task (PsychLab and 1D version). Reproduces the results found in two …☆14Updated 4 years ago
- Deep active inference agents using Monte-Carlo methods☆88Updated 3 years ago
- Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.☆33Updated last month
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆49Updated 2 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆15Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Code and data for People construct simplified mental representations to plan☆23Updated last year
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)☆15Updated 4 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆41Updated 3 years ago
- Models of Sequential Decision-Making☆45Updated 3 months ago
- Train self-modifying neural networks with neuromodulated plasticity☆76Updated 5 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆137Updated 3 years ago
- ☆85Updated 4 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆28Updated 6 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆45Updated last year
- (Personal experiment) Unsupervised Predictive Memory in a Goal-Directed Agent https://arxiv.org/abs/1803.10760☆24Updated 5 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10Updated 4 years ago
- ☆44Updated 6 years ago
- ☆27Updated 4 years ago