301 citations · 373 across the 15 of their papers we have counts for
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cs.LG2019
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
Kristopher De Asis, Alan Chan, Silviu Pitis +2
We explore fixed-horizon temporal difference (TD) methods, reinforcement learning algorithms for a new kind of value function that predicts the sum of rewards over a $\textit{fixed…
cs.LG2019
Source Traces for Temporal Difference Learning
Silviu Pitis
This paper motivates and develops source traces for temporal difference (TD) learning in the tabular setting. Source traces are like eligibility traces, but model potential histori…
cs.LG2019
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach
Silviu Pitis
Reinforcement learning (RL) agents have traditionally been tasked with maximizing the value function of a Markov decision process (MDP), either in continuous settings, with fixed d…