aijunbai / markov-gameLinks
Stochastic Markov Games
☆12Updated 7 years ago
Alternatives and similar repositories for markov-game
Users that are interested in markov-game are comparing it to the libraries listed below
Sorting:
- Code that translates grammar into PDDL, runs a planner to produce multiple plans, translates plans into trainable lale pipelines and trai…☆18Updated 4 months ago
- Demo for Plan Recognition as Planning over Classical Action Theories☆12Updated 8 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 6 months ago
- Safe Reinforcement Learning algorithms☆74Updated 3 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- ☆75Updated last year
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Perform Model Checking and POMDP Planning from LTL specifications using POMDPs.jl☆15Updated last year
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Source for Action Schema Networks paper (AAAI'18)☆31Updated 2 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
- Classical and FOND Planning for Pure-Past Linear Temporal Logic Goals☆19Updated last year
- Datasets for Goal and Plan Recognition using Classical Planning Domains.☆27Updated 6 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆32Updated 5 years ago
- Automatically exported from code.google.com/p/rddlsim☆55Updated last year
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Updated 7 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Emergence of complex strategies through multiagent competition☆44Updated 2 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago
- Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (ht…☆17Updated 4 years ago
- Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"☆37Updated 6 years ago
- Neurosymbolic transformers for multi-agent communication.☆22Updated 4 years ago
- The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.☆82Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆19Updated 6 months ago
- Source code of Neural Logic Reinforcement Learning (https://arxiv.org/abs/1904.10729)☆76Updated 5 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 5 years ago