Robert Dadashi
12 papers · 2019–2023 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(8)
🏆
Grand Slam
👑
Triple Crown
🗃️
Keyword Collector
(56)
⚡
Prolific Year
(5)
💎
Century Club
(12)
❓
The Questioner
Conferences
ICML (5)
NIPS (3)
AAAI (2)
ACL (1)
ICLR (1)
Top co-authors
Keywords
imitation learning
(4)
reinforcement learning
(3)
policy learning
(3)
continuous control
(3)
value function
(2)
representation learning
(2)
offline reinforcement learning
(2)
deep reinforcement learning
(2)
geometric analysis
(2)
auxiliary task
(2)
policy iteration
(1)
markov decision process
(1)
distributional reinforcement learning
(1)
policy optimization
(1)
hyperparameter tuning
(1)
sample complexity
(1)
parameter optimization
(1)
policy improvement
(1)
reward function
(1)
function approximation
(1)
Papers
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
ACL 2023
Offline Reinforcement Learning as Anti-exploration
AAAI 2022
Continuous Control with Action Quantization from Demonstrations
ICML 2022
Learning Energy Networks with Generalized Fenchel-Young Losses
NIPS 2022
Primal Wasserstein Imitation Learning
ICLR 2021
What Matters for Adversarial Imitation Learning?
NIPS 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
AAAI 2021
Offline Reinforcement Learning with Pseudometric Learning
ICML 2021
Hyperparameter Selection for Imitation Learning
ICML 2021
A Geometric Perspective on Optimal Representations for Reinforcement Learning
NIPS 2019
The Value Function Polytope in Reinforcement Learning
ICML 2019
Statistics and Samples in Distributional Reinforcement Learning
ICML 2019