Summary of Attention As An Rnn, by Leo Feng et al.
Attention as an RNNby Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio,…
Summary of Learning to Play Atari Games Using Dueling Q-learning and Hebbian Plasticity, by Md Ashfaq Salehin
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticityby Md Ashfaq SalehinFirst submitted…
Summary of Maximum Manifold Capacity Representations in State Representation Learning, by Li Meng et al.
Maximum Manifold Capacity Representations in State Representation Learningby Li Meng, Morten Goodwin, Anis Yazidi, Paal…
Summary of Dynamic Model Predictive Shielding For Provably Safe Reinforcement Learning, by Arko Banerjee et al.
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learningby Arko Banerjee, Kia Rahmani, Joydeep Biswas,…
Summary of Transformers Can Learn Temporal Difference Methods For In-context Reinforcement Learning, by Jiuqi Wang et al.
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learningby Jiuqi Wang, Ethan Blaser, Hadi…
Summary of Leader Reward For Pomo-based Neural Combinatorial Optimization, by Chaoyang Wang et al.
Leader Reward for POMO-Based Neural Combinatorial Optimizationby Chaoyang Wang, Pengzhi Cheng, Jingze Li, Weiwei SunFirst…
Summary of Offline Rl Via Feature-occupancy Gradient Ascent, by Gergely Neu et al.
Offline RL via Feature-Occupancy Gradient Ascentby Gergely Neu, Nneka OkoloFirst submitted to arxiv on: 22…
Summary of Almost Sure Convergence Rates Of Stochastic Gradient Methods Under Gradient Domination, by Simon Weissmann et al.
Almost sure convergence rates of stochastic gradient methods under gradient dominationby Simon Weissmann, Sara Klein,…
Summary of Maximum Entropy Reinforcement Learning Via Energy-based Normalizing Flow, by Chen-hao Chao et al.
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flowby Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang…
Summary of Knowledge Graph Reasoning with Self-supervised Reinforcement Learning, by Ying Ma et al.
Knowledge Graph Reasoning with Self-supervised Reinforcement Learningby Ying Ma, Owen Burns, Mingqiu Wang, Gang Li,…