francidellungo / Minigrid_HCI-project
Train agents on MiniGrid from human demonstrations using Inverse Reinforcement Learning
☆13Updated 5 years ago
Alternatives and similar repositories for Minigrid_HCI-project:
Users that are interested in Minigrid_HCI-project are comparing it to the libraries listed below
- High-quality reference implementations of various algorithms for Inverse Reinforcement Learning☆12Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 5 years ago
- Bayesian Inverse Reinforcement Learning with simple environments☆19Updated 2 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- A library for building reinforcement learning and imitation learning agents in Pytorch☆58Updated 4 years ago
- Video Input Generative Adversarial Imitation Learning☆7Updated 5 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic …☆17Updated 6 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆26Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated 2 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Bayesian Hierarchical Inverse Reinforcement Learning for toycar obstacle avoidance in pygame(pymunk)☆9Updated 2 years ago
- Successor Options is an option discovery framework for Reinforcement Learning☆12Updated 9 months ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- ☆18Updated 4 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆19Updated 5 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆63Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Implementation of GAIL and AIRL using chinerrl☆17Updated 2 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 5 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Updated 2 years ago
- Uber's Multi-Agent Routing Value Iteration Network☆64Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- POMDP wrappers for OpenAI Gym☆15Updated 5 years ago