Tianpei Yang
19 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (14)
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Keyword Collector
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Conferences
AAAI (6)
ICLR (3)
IJCAI (3)
NIPS (3)
ICML (2)
ACL (1)
UAI (1)
Top co-authors
Keywords
deep reinforcement learning
(7)
multi-agent reinforcement learning
(5)
reinforcement learning
(4)
policy transfer
(4)
transfer learning
(3)
option learning
(2)
policy reuse
(2)
markov game
(2)
multi-source learning
(1)
curriculum learning
(1)
sequential decision-making
(1)
policy learning
(1)
program synthesis
(1)
progressive learning
(1)
bayesian inference
(1)
reward design
(1)
game theory
(1)
counterfactual regret minimization
(1)
multi-agent learning
(1)
mutual information
(1)
Papers
Faster Game Solving via Asymmetry of Step Sizes
AAAI 2026
Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning
ACL 2026
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning
AAAI 2026
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning
ICLR 2025
Causal Information Prioritization for Efficient Reinforcement Learning
ICLR 2025
Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games
ICML 2025
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
IJCAI 2025
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
AAAI 2024
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
AAAI 2024
Learning to Shape Rewards Using a Game of Two Partners
AAAI 2023
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
ICML 2022
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence
UAI 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
NIPS 2022
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NIPS 2021
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
IJCAI 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
AAAI 2020
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
ICLR 2020
Towards Efficient Detection and Optimal Response against Sophisticated Opponents
IJCAI 2019
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
NIPS 2018