aijunbai / markov-game
Stochastic Markov Games
☆12Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for markov-game
- ☆71Updated 5 months ago
- Perform Model Checking and POMDP Planning from LTL specifications using POMDPs.jl☆15Updated 3 months ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆48Updated 5 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 4 years ago
- rlcourse-march-17-hugobb created by GitHub Classroom☆15Updated 4 months ago
- FEN Code☆37Updated 5 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
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆49Updated last year
- Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.☆9Updated 5 years ago
- Deep Reinforcement Learning for Multi Agent Soccer☆17Updated 7 years ago
- Non-linear policy graph improvement - planning for Dec-POMDPs☆16Updated 3 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- ☆11Updated last year
- Implementation of the Option-Critic Architecture☆36Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- ☆43Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆18Updated 5 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 4 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 7 years ago
- Environments with IC3Net paper☆12Updated 5 years ago
- ☆39Updated last year
- Exploration by Random Network Distillation☆16Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆58Updated last year
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago