Aug 1, 2022 · Abstract:Exploration with sparse rewards remains a challenging research problem in reinforcement learning (RL). Especially for sequential ...
Nov 7, 2023 · This strategy allows the agent to break the barriers of sparse reward sequential tasks and achieve efficient learning stage by stage. As a ...
To tackle the sample inefficiency for sparse reward sequential object manipulation tasks, we propose a novel self-guided continual RL framework, named Relay ...
Nov 7, 2023 · This strategy allows the agent to break the barriers of sparse reward sequential tasks and achieve efficient learning stage by stage. As a ...
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7 days ago · ... (Relay Hindsight Experience Replay: Self-guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks With Sparse Rewards).
Dec 4, 2017 · Relay Hindsight Experience Replay: Self-guided continual reinforcement learning for sequential object manipulation tasks with sparse rewards.
Aug 1, 2023 · Relay Hindsight Experience Replay: Self-guided continual reinforcement learning for sequential object manipulation tasks with sparse rewards
Aug 1, 2022 · Hindsight Experience Replay (HER) has been shown an effective solution to handle the low sample efficiency that results from sparse rewards by ...
Dealing with sparse rewards is one of the biggest challenges in Reinforcement. Learning (RL). We present a novel technique called Hindsight Experience Replay.
Missing: Relay | Show results with:Relay
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards.