Dota 2
12 papers with code • 0 benchmarks • 0 datasets
Dota 2 is a multiplayer online battle arena (MOBA). The task is to train one-or-more agents to play and win the game.
( Image credit: OpenAI Five )
Benchmarks
These leaderboards are used to track progress in Dota 2
Latest papers with no code
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play
In this paper, we propose the Minimax Exploiter, a game theoretic approach to exploiting Main Agents that leverages knowledge of its opponents, leading to significant increases in data efficiency.
Towards Detecting Contextual Real-Time Toxicity for In-Game Chat
Real-time toxicity detection in online environments poses a significant challenge, due to the increasing prevalence of social media and gaming platforms.
Sequential Item Recommendation in the MOBA Game Dota 2
We find that SIR models can be employed effectively for item recommendation in Dota 2.
Maximum Entropy Model-based Reinforcement Learning
Recent advances in reinforcement learning have demonstrated its ability to solve hard agent-environment interaction tasks on a super-human level.
Learning Diverse Policies in MOBA Games via Macro-Goals
Recently, many researchers have made successful progress in building the AI systems for MOBA-game-playing with deep reinforcement learning, such as on Dota 2 and Honor of Kings.
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection
Accompanying the dataset is a thorough in-game toxicity analysis, which provides comprehensive understanding of context at utterance, token, and dual levels.
The Dota 2 Bot Competition
Multiplayer Online Battle Area (MOBA) games are a recent huge success both in the video game industry and the international eSports scene.
Factored Action Spaces in Deep Reinforcement Learning
Very large action spaces constitute a critical challenge for deep Reinforcement Learning (RL) algorithms.
Towards Playing Full MOBA Games with Deep Reinforcement Learning
However, existing work falls short in handling the raw game complexity caused by the explosion of agent combinations, i. e., lineups, when expanding the hero pool in case that OpenAI's Dota AI limits the play to a pool of only 17 heroes.
Automatic Player Identification in Dota 2
Dota 2 is a popular, multiplayer online video game.
