84 citations · 603 across the 59 of their papers we have counts for
5 papers · 1 filter
Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches
Wen Sun, Nan Jiang, Akshay Krishnamurthy +2
We study the sample complexity of model-based reinforcement learning (henceforth RL) in general contextual decision processes that require strategic exploration to find a near-opti…
Contextual Memory Trees
Wen Sun, Alina Beygelzimer, Hal Daumé +2
We design and study a Contextual Memory Tree (CMT), a learning memory controller that inserts new memories into an experience store of unbounded size. It is designed to efficiently…
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning
Wen Sun, J. Andrew Bagnell, Byron Boots
In this paper, we propose to combine imitation and reinforcement learning via the idea of reward shaping using an oracle. We study the effectiveness of the near-optimal cost-to-go…
Dual Policy Iteration
Wen Sun, Geoffrey J. Gordon, Byron Boots +1
Recently, a novel class of Approximate Policy Iteration (API) algorithms have demonstrated impressive practical performance (e.g., ExIt from [2], AlphaGo-Zero from [27]). This new…
Recurrent Predictive State Policy Networks
Ahmed Hefny, Zita Marinho, Wen Sun +2
We introduce Recurrent Predictive State Policy (RPSP) networks, a recurrent architecture that brings insights from predictive state representations to reinforcement learning in par…