Cameron Allen

5 papers · 2021–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

NeurIPS (3) AAAI (1) IJCAI (1)

Top co-authors

George Konidaris (4) Omer Gottesman (3) Sam Lobel (2) Gerald Tesauro (1) Nicholas Petrocelli (1) Tim Klinger (1) Vasil Georgiev (1) Daniel Scott (1) Michael L. Littman (1) Scott Emmons (1)

Research topics

Artificial Intelligence (4) Core AI (4) Machine Learning (3) Reinforcement Learning (3) Methods (3) Deep Learning (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Applications (1) Architectures (1) Core Methods (1) Optimization & Theory (1)

Keywords

state representation (2) transformer architecture (1) reinforcement learning (1) sample efficiency (1) temporal difference learning (1) attention mechanism (1) markov decision process (1) value function (1) continuous control (1) partial observability (1) temporal difference (1) state representation learning (1) lookahead search (1) recurrent neural network (1) game ai (1) chess engine (1) policy network (1) value network (1) attention head (1) lambda discrepancy (1)

Papers

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network NeurIPS 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Optimistic Initialization for Exploration in Continuous Control AAAI 2022 Efficient Black-Box Planning Using Macro-Actions with Focused Effects IJCAI 2021 Learning Markov State Abstractions for Deep Reinforcement Learning NeurIPS 2021