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Anirudh Goyal — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Anirudh Goyal
32
papers ·
477
citations ·
25
h-index
Princeton University · University of Maryland, College Park
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Semantic Scholar ↗
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Most-cited papers
An Actor-Critic Algorithm for Sequence Prediction
2016 · 224 citations
InfoBot: Transfer and Exploration via the Information Bottleneck
2019 · 47 citations
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
2018 · 25 citations
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
2019 · 23 citations
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future
2019 · 17 citations
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
2020 · 6 citations
Fast and Slow Learning of Recurrent Independent Mechanisms
2021 · 5 citations
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
2023 · 5 citations
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
2021 · 4 citations
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
2022 · 4 citations
Learning Powerful Policies by Using Consistent Dynamics Model
2019 · 3 citations
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning
2019 · 2 citations
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
2022 · 1 citations
Representation Learning in Deep RL via Discrete Information Bottleneck
2022 · 1 citations
Rethinking Thinking Tokens: LLMs as Improvement Operators
2025
Top co-authors
Yoshua Bengio
· 13
Sergey Levine
· 5
Aniket Didolkar
· 4
Michael Mozer
· 4
Alex Lamb
· 3
Cristian Meo
· 3
Dianbo Liu
· 3
Nan Rosemary Ke
· 3
Nicolas Heess
· 3
Riashat Islam
· 3
Vedant Shah
· 3
Hongyu Zang
· 2
Topics
Model-Based RL
Exploration
Meta-RL
Policy Gradient
Multi-Agent
Safe RL
Value-Based
RLHF & Alignment
Offline RL
Game AI