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75 Results
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Oral
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Tue 17:00 |
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha |
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Poster
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Tue 21:00 |
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha |
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Spotlight
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Tue 7:45 |
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith |
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Poster
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Wed 21:00 |
Provably Efficient Algorithms for Multi-Objective Competitive RL Tiancheng Yu · Yi Tian · Jingzhao Zhang · Suvrit Sra |
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Oral
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Wed 18:00 |
Provably Efficient Algorithms for Multi-Objective Competitive RL Tiancheng Yu · Yi Tian · Jingzhao Zhang · Suvrit Sra |
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Poster
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Tue 9:00 |
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith |
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Workshop
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Automating Power Networks: Improving RL Agent Robustness with Adversarial Training Alexander Pan · Yongkyun Lee · Huan Zhang |
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Spotlight
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Wed 6:20 |
Megaverse: Simulating Embodied Agents at One Million Experiences per Second Aleksei Petrenko · Erik Wijmans · Brennan Shacklett · Vladlen Koltun |
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Spotlight
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Tue 18:25 |
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf |
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Poster
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Wed 9:00 |
Megaverse: Simulating Embodied Agents at One Million Experiences per Second Aleksei Petrenko · Erik Wijmans · Brennan Shacklett · Vladlen Koltun |
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Poster
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Wed 9:00 |
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game Shuang Qiu · Jieping Ye · Zhaoran Wang · Zhuoran Yang |
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Poster
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Tue 21:00 |
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf |