samshipengs / Coordinated-Multi-Agent-Imitation-Learning
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 6 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
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Adversarial Imitation Learning from Incomplete Demonstrations☆16Updated 4 years ago
- Guided-Meta Policy Search☆41Updated 2 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 7 years ago
- Implementation of Random Expert Distillation☆29Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated last year
- ☆84Updated 6 years ago
- ☆66Updated 4 years ago
- Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic …☆17Updated 6 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 5 years ago
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆68Updated last year
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆81Updated 5 years ago
- Learning to Imitate Behaviors from Raw Video via Context Translation☆51Updated 7 years ago
- Gym environments for Robots that learn to interact with the environment autonomously☆34Updated 2 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆44Updated 2 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆28Updated 5 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- Inferring beliefs about dynamics from behavior☆28Updated 6 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆70Updated 7 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆33Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- ☆41Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 5 years ago
- PyTorch implementation of Generating Multi-Agent Trajectories using Programmatic Weak Supervision☆60Updated 4 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago