Peter Henderson
Identifiers
- name variant Peter Henderson 0.60 · backfill
Papers (28)
- Temporally Extended Mixture-of-Experts Models cs.LG · 2026 · author #2
- Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism cs.CL · 2026 · author #5
- Legal Retrieval for Public Defenders cs.IR · 2026 · author #7
- Legal Alignment for Safe and Ethical AI cs.CY · 2026 · author #12
- How Can AI Augment Access to Justice? Public Defenders' Perspectives on AI Adoption cs.CY · 2025 · author #4
- Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! cs.CL · 2023 · author #7
- Holistic Evaluation of Language Models cs.CL · 2022 · author #36
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cs.CL · 2022 · author #100
- On the Opportunities and Risks of Foundation Models cs.LG · 2021 · author #35
- Separating value functions across time-scales cs.LG · 2019 · author #2
- Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research cs.DL · 2018 · author #1
- An Introduction to Deep Reinforcement Learning cs.LG · 2018 · author #2
- The RLLChatbot: a solution to the ConvAI challenge cs.CL · 2018 · author #3
- Adversarial Gain cs.LG · 2018 · author #1
- Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods cs.LG · 2018 · author #1
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning cs.LG · 2018 · author #2
- Learning Robust Dialog Policies in Noisy Environments cs.CL · 2017 · author #5
- Bayesian Policy Gradients via Alpha Divergence Dropout Inference cs.LG · 2017 · author #1
- Ethical Challenges in Data-Driven Dialogue Systems cs.CL · 2017 · author #1
- Underwater Multi-Robot Convoying using Visual Tracking by Detection cs.RO · 2017 · author #3
- Cost Adaptation for Robust Decentralized Swarm Behaviour cs.AI · 2017 · author #1
- OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning cs.LG · 2017 · author #1
- Deep Reinforcement Learning that Matters cs.LG · 2017 · author #1
- Benchmark Environments for Multitask Learning in Continuous Domains cs.AI · 2017 · author #1
- Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control cs.LG · 2017 · author #2
- An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian Models cs.CV · 2017 · author #1
- Chaotic Memory Randomization for Securing Embedded Systems cs.CR · 2016 · author #1
- A Survey of Available Corpora for Building Data-Driven Dialogue Systems cs.CL · 2015 · author #3
Mentions
- 2601.04175 #12 · arxiv_oai · confidence 0.70 Peter Henderson
- 2601.14348 #7 · arxiv_oai · confidence 0.70 Peter Henderson
Frequent Coauthors
- Joelle Pineau 10 shared papers
- David Meger 5 shared papers
- Riashat Islam 4 shared papers
- Rishi Bommasani 4 shared papers
- Deepak Narayanan 3 shared papers
- Doina Precup 3 shared papers
- Emma Brunskill 3 shared papers
- Joshua Romoff 3 shared papers
- Koustuv Sinha 3 shared papers
- Lucia Zheng 3 shared papers
- Wei-Di Chang 3 shared papers
- Ananya Kumar 2 shared papers
- Christopher D. Manning 2 shared papers
- Christopher R\'e 2 shared papers
- Dominik Stammbach 2 shared papers
- Drew A. Hudson 2 shared papers
- Esin Durmus 2 shared papers
- Faisal Ladhak 2 shared papers
- Florian Shkurti 2 shared papers
- Frieda Rong 2 shared papers