google-deepmind / hcmd_daiLinks
β26Updated 3 years ago
Alternatives and similar repositories for hcmd_dai
Users that are interested in hcmd_dai are comparing it to the libraries listed below
Sorting:
- Library for graphical models of decision making, based on pgmpy and networkxβ109Updated 2 years ago
- π§ π©Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environmentβ34Updated 5 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithmsβ46Updated 4 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".β59Updated last year
- Repository for "Learning action-oriented models through active inference"β12Updated 5 years ago
- Language of thought library for python 3β50Updated last year
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three β¦β35Updated 4 years ago
- β12Updated 4 years ago
- Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".β28Updated 2 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcβ¦β57Updated 6 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)β43Updated 2 years ago
- Code and data for People construct simplified mental representations to planβ23Updated last year
- Models of Sequential Decision-Makingβ52Updated 9 months ago
- β16Updated 3 years ago
- β73Updated 3 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018β34Updated 5 years ago
- β47Updated 3 years ago
- Deep Successor Representationβ18Updated 7 years ago
- Symbolic Reinforcement Learning using Inductive Logic Programmingβ62Updated 2 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.β29Updated last year
- Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based gamesβ48Updated last month
- Uncertainty and causal emergence in complex networksβ119Updated 4 years ago
- Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"β14Updated 4 years ago
- Deep active inference agents using Monte-Carlo methodsβ92Updated 4 months ago
- A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)β18Updated 5 years ago
- Reinforcement Learning through Active Inferenceβ76Updated 5 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".β24Updated 4 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmasβ52Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learningβ50Updated 4 years ago
- Differentiable DAG Sampling (ICLR 2022)β37Updated 3 years ago