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#sparse-rewards News & Analysis

2 articles tagged with #sparse-rewards. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Mar 26/1014
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Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward

Researchers introduced AC3 (Actor-Critic for Continuous Chunks), a new reinforcement learning framework that addresses challenges in long-horizon robotic manipulation tasks with sparse rewards. The system uses continuous action chunks with stabilization mechanisms and achieved superior performance on 25 benchmark tasks using minimal demonstrations.

AINeutralarXiv – CS AI · Mar 24/106
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Adaptive Correlation-Weighted Intrinsic Rewards for Reinforcement Learning

Researchers propose ACWI, a new reinforcement learning framework that dynamically balances intrinsic and extrinsic rewards through adaptive scaling coefficients. The system uses a lightweight Beta Network to optimize exploration in sparse reward environments, demonstrating improved sample efficiency and stability in MiniGrid experiments.