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Found 4 papers, 2 papers with code
Generalisable Agents for Neural Network Optimisation
Optimising deep neural networks is a challenging task due to complex training dynamics, high computational requirements, and long training times.
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Open-source reinforcement learning (RL) environments have played a crucial role in driving progress in the development of AI algorithms.
Evolution Strategies as an Alternate Learning method for Hierarchical Reinforcement Learning
This paper investigates the performance of Scalable Evolution Strategies (S-ES) as a Hierarchical Reinforcement Learning (HRL) approach.
Hierarchical Reinforcement Learning
Policy Gradient Methods
+2
Mava: a research library for distributed multi-agent reinforcement learning in JAX
Our criteria for such software is that it should be simple enough to use to implement new ideas quickly, while at the same time be scalable and fast enough to test those ideas in a reasonable amount of time.
