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Byron Boots — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Byron Boots
36
papers ·
470
citations ·
32
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Differentiable MPC for End-to-end Planning and Control
2018 · 146 citations
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
2017 · 91 citations
Fast Policy Learning through Imitation and Reinforcement
2018 · 44 citations
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning
2018 · 38 citations
Dual Policy Iteration
2018 · 25 citations
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
2020 · 25 citations
Learning from Conditional Distributions via Dual Embeddings
2016 · 20 citations
Composing Task-Agnostic Policies with Deep Reinforcement Learning
2019 · 11 citations
Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference
2016 · 7 citations
Adversarial Imitation via Variational Inverse Reinforcement Learning
2018 · 6 citations
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
2023 · 5 citations
Adversarial Model for Offline Reinforcement Learning
2023 · 4 citations
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
2024 · 4 citations
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
2019 · 3 citations
A Reduction from Reinforcement Learning to No-Regret Online Learning
2019 · 3 citations
Top co-authors
Ching-An Cheng
· 7
Xinyan Yan
· 5
J. Andrew Bagnell
· 3
Kevin Huang
· 3
Mohak Bhardwaj
· 3
Wen Sun
· 3
Ahmed H. Qureshi
· 2
Animesh Garg
· 2
Geoffrey J. Gordon
· 2
Jacob Sacks
· 2
Michael C. Yip
· 2
Nathan Ratliff
· 2
Topics
Model-Based RL
Policy Gradient
Offline RL
Value-Based
Exploration
Meta-RL
Game AI
Safe RL
Multi-Agent