TARTRL / TiKick
Learning-based agent for Google Research Football (足球游戏智能体)
☆111Updated 2 years ago
Alternatives and similar repositories for TiKick:
Users that are interested in TiKick are comparing it to the libraries listed below
- ☆4Updated 5 months ago
- ☆143Updated 5 months ago
- ☆111Updated 2 years ago
- A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.☆100Updated last year
- ☆165Updated last year
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆131Updated last year
- Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体☆53Updated last year
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆132Updated 4 years ago
- This is the source code of RPG (Reward-Randomized Policy Gradient)☆42Updated 2 years ago
- ☆70Updated last year
- A platform for intelligent agent learning based on a 3D open-world FPS game developed by Inspir.AI.☆57Updated 2 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆50Updated 8 months ago
- ☆16Updated 3 years ago
- ☆40Updated last week
- ☆25Updated 2 years ago
- [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.☆95Updated last year
- A large-scale multi-modal pre-trained model☆131Updated 2 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆80Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- ☆44Updated 2 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆101Updated 2 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆86Updated 4 years ago
- ☆93Updated 4 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 4 months ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆350Updated 2 years ago
- Implement PPO algorithm on mujoco environment,such as Ant-v2, Humanoid-v2, Hopper-v2, Halfcheeth-v2.☆51Updated 4 years ago
- ☆120Updated 2 years ago