younggyoseo / lasertag-v0Links
Implementation of Deepmind's LaserTag-v0 game in A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)
☆19Updated 6 years ago
Alternatives and similar repositories for lasertag-v0
Users that are interested in lasertag-v0 are comparing it to the libraries listed below
Sorting:
- ☆76Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆43Updated 2 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 2 years ago
- Environments with IC3Net paper☆13Updated 6 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- ☆47Updated 2 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆35Updated 2 years ago
- Deep Implicit Coordination Graphs☆41Updated last year
- ☆84Updated 6 years ago
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- ☆49Updated 3 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.☆10Updated 6 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆94Updated 3 weeks ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 3 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)☆23Updated 2 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- ☆132Updated 11 months ago
- ☆12Updated 4 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago