samshipengs / Coordinated-Multi-Agent-Imitation-LearningLinks
This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow
☆39Updated 7 years ago
Alternatives and similar repositories for Coordinated-Multi-Agent-Imitation-Learning
Users that are interested in Coordinated-Multi-Agent-Imitation-Learning are comparing it to the libraries listed below
Sorting:
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- PyTorch implementation of Generating Multi-Agent Trajectories using Programmatic Weak Supervision☆61Updated 4 years ago
- ☆66Updated 5 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- gail, infogail, hierarchical gail implementations☆35Updated 7 years ago
- Guided-Meta Policy Search☆39Updated 2 years ago
- Implementation of Random Expert Distillation☆29Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Proximal Policy Optimization in PyTorch☆39Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆95Updated 7 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 7 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆82Updated 6 years ago
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆69Updated 2 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆50Updated 6 years ago
- Adversarial Imitation Learning from Incomplete Demonstrations☆16Updated 5 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 6 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆73Updated 6 years ago
- Code for running EX2: Exploration with Exemplar Models for Deep Reinforcement Learning☆9Updated 7 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆71Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- ☆43Updated 6 years ago
- QMDP-Net implementation☆65Updated 5 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- Gym environments for Robots that learn to interact with the environment autonomously☆34Updated 2 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago