activity
20182026
most citedSMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

103 citations · 499 across the 42 of their papers we have counts for

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Showing 2021Show all

18 papers · 1 filter

hep-ph2021★ 18 cited

New physics in semileptonic transitions: rare hyperon vs. kaon decays

Li-Sheng Geng, Jorge Martin Camalich, Rui-Xiang Shi

We investigate the potential of rare hyperon decays to probe the short distance structure in the and transitions. Hyperon decays into neutrinos…

cs.LG2021★ 1 cited

ED2: Environment Dynamics Decomposition World Models for Continuous Control

Jianye Hao, Yifu Yuan, Cong Wang +1

Model-based reinforcement learning (MBRL) achieves significant sample efficiency in practice in comparison to model-free RL, but its performance is often limited by the existence o…

cs.AI2021★ 1 cited

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines

Xuejing Zheng, Chao Yu, Chen Chen +2

Continuously learning new tasks using high-level ideas or knowledge is a key capability of humans. In this paper, we propose Lifelong reinforcement learning with Sequential linear…

cs.LG2021★ 2 cited

Learning State Representations via Retracing in Reinforcement Learning

Changmin Yu, Dong Li, Jianye Hao +2

We propose learning via retracing, a novel self-supervised approach for learning the state representation (and the associated dynamics model) for reinforcement learning tasks. In a…

cs.LG2021★ 13 cited

Dynamic Bottleneck for Robust Self-Supervised Exploration

Chenjia Bai, Lingxiao Wang, Lei Han +4

Exploration methods based on pseudo-count of transitions or curiosity of dynamics have achieved promising results in solving reinforcement learning with sparse rewards. However, su…

cs.LG2021★ 24 cited

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning

Danruo Deng, Guangyong Chen, Jianye Hao +2

The backpropagation networks are notably susceptible to catastrophic forgetting, where networks tend to forget previously learned skills upon learning new ones. To address such the…