Thibault Sottiaux

Reinforcement Learning · 2021–2024

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it

Whom Thibault Sottiaux trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Longxin Lin (in Reinforcement Learning)

Papers from Thibault Sottiaux's perspective

Ordered by how strongly the researchers Thibault Sottiaux trusts endorse each paper. Same corpus, a different order for every researcher.

1. Human-level control through deep reinforcement learning
2. Proximal Policy Optimization Algorithms (arXiv.org)
3. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
4. Distributed Prioritized Experience Replay
5. Grandmaster level in StarCraft II using multi-agent reinforcement learning
6. Self-improving reactive agents based on reinforcement learning, planning and teaching
7. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
8. The Reactor: A Sample-Efficient Actor-Critic Architecture
9. Acme: A Research Framework for Distributed Reinforcement Learning
10. Revisiting Fundamentals of Experience Replay (International Conference on Machine Learning)

Their papers

• Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) — 1,640 citations
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
• Reverb: A Framework For Experience Replay (2021) — 46 citations