Zhizhou Ren
13 papers · 2019–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(81)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(9)
Reinforcement Learning
(9)
Methods
(9)
Core AI
(7)
Learning Types Β· Machine Learning
(7)
Deep Learning
(4)
Optimization & Theory
(4)
Learning Types Β· Deep Learning
(3)
Healthcare & Medicine
(2)
Application Areas
(2)
Applications
(2)
Core Methods
(2)
Learning Paradigms
(2)
Models
(2)
Keywords
multi-agent reinforcement learning
(3)
sample efficiency
(2)
overestimation bia
(2)
value function
(2)
value factorization
(2)
deep reinforcement learning
(2)
sparse reward
(2)
flow matching
(1)
value function approximation
(1)
self-supervised learning
(1)
model-based reinforcement learning
(1)
value function estimation
(1)
monte carlo sampling
(1)
off-policy learning
(1)
information gain
(1)
continuous control
(1)
bellman operator
(1)
polynomial time
(1)
graph topology
(1)
off-policy reinforcement learning
(1)
Papers
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
NeurIPS 2024
Full-Atom Peptide Design based on Multi-modal Flow Matching
ICML 2024
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
NeurIPS 2022
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
ICLR 2022
Off-Policy Reinforcement Learning with Delayed Rewards
ICML 2022
Proximal Exploration for Model-guided Protein Sequence Design
ICML 2022
Self-Organized Polynomial-Time Coordination Graphs
ICML 2022
Generalizable Episodic Memory for Deep Reinforcement Learning
ICML 2021
On the Estimation Bias in Double Q-Learning
NeurIPS 2021
QPLEX: Duplex Dueling Multi-Agent Q-Learning
ICLR 2021
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
NeurIPS 2021
Object-Oriented Dynamics Learning through Multi-Level Abstraction
AAAI 2020
Exploration via Hindsight Goal Generation
NeurIPS 2019