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Game AI

511 papers

Papers per year

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Papers

Search-based Reinforcement Learning through Bandit Linear Optimization IJCAI 2022
Approximate Exploitability: Learning a Best Response IJCAI 2022
CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning NAACL 2022
RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation WACV 2022
Regularized Softmax Deep Multi-Agent Q-Learning NIPS 2021
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning NIPS 2021
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning NIPS 2021
Neural Auto-Curricula in Two-Player Zero-Sum Games NIPS 2021
Learning Knowledge Graph-based World Models of Textual Environments NIPS 2021
Deep Synoptic Monte-Carlo Planning in Reconnaissance Blind Chess NIPS 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NIPS 2021
Entropic Desired Dynamics for Intrinsic Control NIPS 2021
Learning in two-player zero-sum partially observable Markov games with perfect recall NIPS 2021
Exploiting Opponents Under Utility Constraints in Sequential Games NIPS 2021
Learning Diverse Policies in MOBA Games via Macro-Goals NIPS 2021
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi NIPS 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning NIPS 2021
No-Press Diplomacy from Scratch NIPS 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents NIPS 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games NIPS 2021
Subgame solving without common knowledge NIPS 2021
NovelD: A Simple yet Effective Exploration Criterion NIPS 2021
Mastering Atari Games with Limited Data NIPS 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability NIPS 2021
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark NIPS 2021