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Found 3 papers, 3 papers with code
Bayesian Nonparametrics for Offline Skill Discovery
Skills or low-level policies in reinforcement learning are temporally extended actions that can speed up learning and enable complex behaviours.
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
In order to address these limitations, we introduce the concept of cumulative accessibility functions, which measure the reachability of a goal from a given state within a specified horizon.
Adaptive Transformers in RL
In this work we first partially replicate the results shown in Stabilizing Transformers in RL on both reactive and memory based environments.
Partially Observable Reinforcement Learning
reinforcement-learning
+1
