Search Results for author: Ethan Knight

Found 2 papers, 1 papers with code

Towards Characterizing Divergence in Deep Q-Learning

no code implementations21 Mar 2019 Joshua Achiam, Ethan Knight, Pieter Abbeel

Deep Q-Learning (DQL), a family of temporal difference algorithms for control, employs three techniques collectively known as the `deadly triad' in reinforcement learning: bootstrapping, off-policy learning, and function approximation.

Continuous Control OpenAI Gym +1

Natural Gradient Deep Q-learning

1 code implementation20 Mar 2018 Ethan Knight, Osher Lerner

We present a novel algorithm to train a deep Q-learning agent using natural-gradient techniques.

Hyperparameter Optimization Q-Learning

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