Bilal Piot
30 papers · 2012–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(11)
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Keyword Champion
π§
Keyword Pioneer
π
Triple Crown
π€
Dynamic Duo
(12)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(141)
Top co-authors
Research topics
Machine Learning
(22)
Artificial Intelligence
(20)
Core AI
(19)
Reinforcement Learning
(18)
Learning Types Β· Machine Learning
(17)
Methods
(17)
Optimization & Theory
(11)
Deep Learning
(6)
Applications
(6)
Learning Types Β· Deep Learning
(6)
Core Methods
(5)
Mathematics & Optimization
(3)
Optimization
(3)
Natural Language Processing
(1)
Generation
(1)
Keywords
reinforcement learning
(9)
self-supervised learning
(5)
representation learning
(4)
nash equilibrium
(4)
markov game
(4)
policy optimization
(4)
bellman residual
(3)
direct preference optimization
(3)
deep reinforcement learning
(3)
game theory
(3)
two-player zero-sum game
(2)
approximate dynamic programming
(2)
human feedback
(2)
imitation learning
(2)
value function
(2)
preference learning
(2)
preference optimization
(2)
markov decision process
(2)
policy gradient
(2)
policy iteration
(2)
Papers
Building Math Agents with Multi-Turn Iterative Preference Learning
ICLR 2025
Learning from negative feedback, or positive feedback or both
ICLR 2025
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
A General Theoretical Paradigm to Understand Learning from Human Preferences
AISTATS 2024
Generalized Preference Optimization: A Unified Approach to Offline Alignment
ICML 2024
Human Alignment of Large Language Models through Online Preference Optimisation
ICML 2024
Multi-turn Reinforcement Learning with Preference Human Feedback
NeurIPS 2024
Nash Learning from Human Feedback
ICML 2024
Unlocking the Power of Representations in Long-term Novelty-based Exploration
ICLR 2024
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
ICML 2023
Understanding Self-Predictive Learning for Reinforcement Learning
ICML 2023
BYOL-Explore: Exploration by Bootstrapped Prediction
NeurIPS 2022
Emergent Communication at Scale
ICLR 2022
Agent57: Outperforming the Atari Human Benchmark
ICML 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
ICML 2020
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
NeurIPS 2020
Never Give Up: Learning Directed Exploration Strategies
ICLR 2020
Hindsight Credit Assignment
NeurIPS 2019
Actor-Critic Fictitious Play in Simultaneous Move Multistage Games
AISTATS 2018
Noisy Networks For Exploration
ICLR 2018
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
ICLR 2018
End-to-end optimization of goal-driven and visually grounded dialogue systems
IJCAI 2017
Is the Bellman residual a bad proxy?
NeurIPS 2017
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
AISTATS 2017
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games
AISTATS 2016
Softened Approximate Policy Iteration for Markov Games
ICML 2016
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games
ICML 2015
Inverse Reinforcement Learning in Relational Domains
IJCAI 2015
Difference of Convex Functions Programming for Reinforcement Learning
NeurIPS 2014
Inverse Reinforcement Learning through Structured Classification
NeurIPS 2012