Munchausen Reinforcement Learning - NIPS

This paper presents a tensor decomposition (TD) based reduced-order model of the hierarchical deep-learning neural networks (HiDeNN).







Exploiting Approximate Symmetry for Efficient Multi-Agent ... - GitHub
Much research suggests that NAc dopamine encodes temporal-difference. (TD) errors for learning value predictions. However, dopamine is synchronously distributed ...
Experimental and Theoretical Analysis of Reinforcement Learning ...
To optimize our agents, we test both TD-learning (deep Q- learning) and policy-gradient methods, and find that Prox- imal Policy Optimization (PPO) ...
Temporal-Difference Learning Using Distributed Error Signals
We show that the new feedback-modulated TD-STDP learning rule can be used to solve common reinforcement learning tasks such as CartPole and ...



Autres Cours:

Reinforcement Learning In Continuous Time and Space - CS.HUJI