Dibya Ghosh
16 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (5)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(7)
🌈
Renaissance Researcher
(5)
🤝
Dynamic Duo
(14)
👥
Mega-Team
(35)
🔥
Unstoppable
(8)
💎
Century Club
(16)
🚀
Conference Pioneer
🗃️
Keyword Collector
(51)
❓
The Questioner
Conferences
NIPS (6)
ICLR (4)
ICML (4)
CORL (1)
RSS (1)
Top co-authors
Keywords
representation learning
(3)
offline reinforcement learning
(2)
reinforcement learning
(2)
imitation learning
(1)
function approximation
(1)
policy optimization
(1)
bayesian inference
(1)
variational inference
(1)
distribution shift
(1)
policy gradient
(1)
policy iteration
(1)
epistemic uncertainty
(1)
inverse reinforcement learning
(1)
hierarchical reinforcement learning
(1)
partially observable markov decision process
(1)
domain generalization
(1)
continuous control
(1)
reward function
(1)
temporal difference learning
(1)
deep reinforcement learning
(1)
Papers
$\pi_0.5$: a Vision-Language-Action Model with Open-World Generalization
CORL 2025
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
ICML 2025
Octo: An Open-Source Generalist Robot Policy
RSS 2024
Reinforcement Learning from Passive Data via Latent Intentions
ICML 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
NIPS 2023
Accelerating Exploration with Unlabeled Prior Data
NIPS 2023
Distributionally Adaptive Meta Reinforcement Learning
NIPS 2022
Offline RL Policies Should Be Trained to be Adaptive
ICML 2022
Learning to Reach Goals via Iterated Supervised Learning
ICLR 2021
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
ICLR 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
NIPS 2021
Representations for Stable Off-Policy Reinforcement Learning
ICML 2020
An operator view of policy gradient methods
NIPS 2020
Learning Actionable Representations with Goal Conditioned Policies
ICLR 2019
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
NIPS 2018
Divide-and-Conquer Reinforcement Learning
ICLR 2018