A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
- Dong Ki Kim
- Miao Liu
- et al.
- 2021
- ICML 2021
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9 results for Miao Liu
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
- Shuai Zhang
- Heshan Fernando
- et al.
- 2024
- ICML 2024
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2023
- ICLR 2023
Local Explanations for Reinforcement Learning
- Ronny Luss
- Amit Dhurandhar
- et al.
- 2023
- AAAI 2023
Learning in Factored Domains with Information-Constrained Visual Representations
- Tyler Malloy
- Tim Klinger
- et al.
- 2022
- NeurIPS 2022
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning
- Heshan Fernando
- Lisha Chen
- et al.
- 2024
- ICASSP 2024
Model-free Causal Reinforcement Learning with Causal Diagrams
- Junkyu Lee
- Tian Gao
- et al.
- 2023
- IJCAI 2023
A Neuro-Symbolic Approach to Runtime Optimization in Resource Constrained Heterogeneous Systems
- Chitra Subramanian
- Sarath Swaminathan
- et al.
- 2023
- IJCAI 2023