[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
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Updated
Jun 3, 2024 - Python
[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Code accompanying "Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning"
NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Investigating methods for stable credit assignment for deep reinforcement learning
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Awesome list of research publications and media on biologically-motivated learning algorithms.
We attempt to enhance multi-agent coordination in a tightly-coupled domain using auto-encoders.
A study of reinforcement learning algorithms for fed-batch bioprocessesing
Various computational models for reinforcement learning
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