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Bilal Piot

30 papers · 2012–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) πŸƒ Academic Marathon (13) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (7) ⚑ Prolific Year (6) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (93) πŸ’Ž Century Club (30)

Conferences

ICML (9) ICLR (8) NIPS (7) AISTATS (4) IJCAI (2)

Top co-authors

RΓ©mi Munos (12) Olivier Pietquin (11) Daniele Calandriello (9) Mohammad Gheshlaghi azar (9) Michal Valko (8) Zhaohan Daniel Guo (7) Yunhao Tang (6) Bernardo Avila Pires (6) Matthieu Geist (6) Florian Strub (5)

Keywords

reinforcement learning (7) policy optimization (4) representation learning (4) markov game (4) self-supervised learning (4) game theory (3) bellman residual (3) optimal bellman residual (2) self-predictive learning (2) two-player zero-sum game (2) latent representation (2) policy iteration (2) deep reinforcement learning (2) multi-agent system (2) markov decision process (2) approximate dynamic programming (2) nash equilibrium (2) value function (2) zero-sum game (2) preference learning (1)

Papers

RRM: Robust Reward Model Training Mitigates Reward Hacking ICLR 2025
Building Math Agents with Multi-Turn Iterative Preference Learning ICLR 2025
Learning from negative feedback, or positive feedback or both ICLR 2025
Multi-turn Reinforcement Learning with Preference Human Feedback NIPS 2024
Nash Learning from Human Feedback ICML 2024
Unlocking the Power of Representations in Long-term Novelty-based Exploration ICLR 2024
Generalized Preference Optimization: A Unified Approach to Offline Alignment ICML 2024
A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024
Human Alignment of Large Language Models through Online Preference Optimisation ICML 2024
Understanding Self-Predictive Learning for Reinforcement Learning ICML 2023
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick ICML 2023
BYOL-Explore: Exploration by Bootstrapped Prediction NIPS 2022
Emergent Communication at Scale ICLR 2022
Agent57: Outperforming the Atari Human Benchmark ICML 2020
Never Give Up: Learning Directed Exploration Strategies ICLR 2020
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NIPS 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020
Hindsight Credit Assignment NIPS 2019
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning ICLR 2018
Actor-Critic Fictitious Play in Simultaneous Move Multistage Games AISTATS 2018
Noisy Networks For Exploration ICLR 2018
End-to-end optimization of goal-driven and visually grounded dialogue systems IJCAI 2017
Is the Bellman residual a bad proxy? NIPS 2017
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017
Softened Approximate Policy Iteration for Markov Games ICML 2016
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 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 NIPS 2014
Inverse Reinforcement Learning through Structured Classification NIPS 2012