Search Results for author: Shauharda Khadka

Found 7 papers, 3 papers with code

Learning Intrinsic Symbolic Rewards in Reinforcement Learning

no code implementations8 Oct 2020 Hassam Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar

We show that the discovered dense rewards are an effective signal for an RL policy to solve the benchmark tasks.

Collaborative Evolutionary Reinforcement Learning

1 code implementation2 May 2019 Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer

Deep reinforcement learning algorithms have been successfully applied to a range of challenging control tasks.

Continuous Control

Evolution-Guided Policy Gradient in Reinforcement Learning

6 code implementations NeurIPS 2018 Shauharda Khadka, Kagan Tumer

However, these methods typically suffer from three core difficulties: temporal credit assignment with sparse rewards, lack of effective exploration, and brittle convergence properties that are extremely sensitive to hyperparameters.

Continuous Control

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