cjm715 / mgym
A collection of multi-agent reinforcement learning OpenAI gym environments
☆45Updated 4 years ago
Alternatives and similar repositories for mgym:
Users that are interested in mgym are comparing it to the libraries listed below
- ☆97Updated last year
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- A library of probabilistic model based RL algorithms in pytorch☆108Updated 3 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- ☆91Updated last year
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 6 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆21Updated 5 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆97Updated 4 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- Hierarchical Self-Play☆21Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- Gym environments modified with adversarial agents☆35Updated 7 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- ☆53Updated 7 years ago