Summary of Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets, by Jinyu Liu et al.
Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Marketsby Jinyu Liu, Hongye Guo,…
Summary of Multi-objective Reinforcement Learning: a Tool For Pluralistic Alignment, by Peter Vamplew et al.
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignmentby Peter Vamplew, Conor F Hayes, Cameron Foale,…
Summary of Bayes Adaptive Monte Carlo Tree Search For Offline Model-based Reinforcement Learning, by Jiayu Chen et al.
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learningby Jiayu Chen, Wentse Chen,…
Summary of Action Gaps and Advantages in Continuous-time Distributional Reinforcement Learning, by Harley Wiltzer et al.
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learningby Harley Wiltzer, Marc G. Bellemare, David…
Summary of Improving Generalization on the Procgen Benchmark with Simple Architectural Changes and Scale, by Andrew Jesson and Yiding Jiang
Improving Generalization on the ProcGen Benchmark with Simple Architectural Changes and Scaleby Andrew Jesson, Yiding…
Summary of Focus on What Matters: Separated Models For Visual-based Rl Generalization, by Di Zhang et al.
Focus On What Matters: Separated Models For Visual-Based RL Generalizationby Di Zhang, Bowen Lv, Hai…
Summary of Lotus: Learning-based Online Thermal and Latency Variation Management For Two-stage Detectors on Edge Devices, by Yifan Gong et al.
Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devicesby Yifan…
Summary of Burning Red: Unlocking Subtask-driven Reinforcement Learning and Risk-awareness in Average-reward Markov Decision Processes, by Juan Sebastian Rojas et al.
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processesby Juan Sebastian…
Summary of Stackfeed: Structured Textual Actor-critic Knowledge Base Editing with Feedback, by Naman Gupta et al.
STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBackby Naman Gupta, Shashank Kirtania, Priyanshu Gupta,…
Summary of Enhancing Robustness in Deep Reinforcement Learning: a Lyapunov Exponent Approach, by Rory Young et al.
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approachby Rory Young, Nicolas PugeaultFirst submitted…