Robert Dadashi
12 papers · 2019–2023 · 5 venues · across top CS/AI venues
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Achievements
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Keyword Collector
(58)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Reinforcement Learning
(9)
Methods
(8)
Deep Learning
(7)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(5)
Core Methods
(4)
Artificial Intelligence
(3)
Applications Β· Reinforcement Learning
(3)
Core AI
(3)
Optimization & Theory
(3)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications Β· Natural Language Processing
(1)
Keywords
imitation learning
(5)
continuous control
(4)
reinforcement learning
(3)
policy learning
(3)
offline reinforcement learning
(2)
representation learning
(2)
value function
(2)
geometric analysis
(2)
auxiliary task
(2)
deep reinforcement learning
(2)
reward function
(2)
distributional reinforcement learning
(1)
sample complexity
(1)
markov decision process
(1)
policy improvement
(1)
multi-label classification
(1)
function approximation
(1)
policy iteration
(1)
policy optimization
(1)
adversarial learning
(1)
Papers
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
ACL 2023
Continuous Control with Action Quantization from Demonstrations
ICML 2022
Learning Energy Networks with Generalized Fenchel-Young Losses
NeurIPS 2022
Offline Reinforcement Learning as Anti-exploration
AAAI 2022
Hyperparameter Selection for Imitation Learning
ICML 2021
Offline Reinforcement Learning with Pseudometric Learning
ICML 2021
Primal Wasserstein Imitation Learning
ICLR 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
AAAI 2021
What Matters for Adversarial Imitation Learning?
NeurIPS 2021
A Geometric Perspective on Optimal Representations for Reinforcement Learning
NeurIPS 2019
Statistics and Samples in Distributional Reinforcement Learning
ICML 2019
The Value Function Polytope in Reinforcement Learning
ICML 2019