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Found 5 papers, 2 papers with code
Gated Chemical Units
By observing that the TG corresponds to the forget gate (FG) in traditional gated recurrent units, we provide a new formulation of these units as neural ODEs.
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?
In this work we aim to determine the impact of using chemical synapses compared to electrical synapses, in both sparse and all-to-all connected networks.
Conditionally Risk-Averse Contextual Bandits
Contextual bandits with average-case statistical guarantees are inadequate in risk-averse situations because they might trade off degraded worst-case behaviour for better average performance.
Decaying Clipping Range in Proximal Policy Optimization
Proximal Policy Optimization (PPO) is among the most widely used algorithms in reinforcement learning, which achieves state-of-the-art performance in many challenging problems.
Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment
An in-depth understanding of the particular environment is crucial in reinforcement learning (RL).
