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Jimmy Ba — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jimmy Ba
18
papers ·
1385
citations ·
37
h-index
University of Toronto
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
2017 · 472 citations
Benchmarking Model-Based Reinforcement Learning
2019 · 242 citations
Mastering Diverse Domains through World Models
2023 · 92 citations
Exploring Model-based Planning with Policy Networks
2019 · 76 citations
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
2020 · 38 citations
Action and Perception as Divergence Minimization
2020 · 23 citations
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
2019 · 21 citations
Evaluating Agents without Rewards
2020 · 10 citations
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
2022 · 8 citations
Planning from Pixels using Inverse Dynamics Models
2020 · 3 citations
EMA Policy Gradient: Taming Reinforcement Learning for LLMs with EMA Anchor and Top-k KL
2026
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
2021
Top co-authors
Danijar Hafner
· 3
Harris Chan
· 3
Keiran Paster
· 3
Sheila A. McIlraith
· 2
Tingwu Wang
· 2
Yuhuai Wu
· 2
Beining Han
· 1
Bradly Stadie
· 1
Brendon Matusch
· 1
Chongyi Zheng
· 1
Elman Mansimov
· 1
Eric Langlois
· 1
Topics
Exploration
Model-Based RL
Game AI
Meta-RL
Policy Gradient
Value-Based
Offline RL
Safe RL
RLHF & Alignment
Multi-Agent