ataxali / bayesian_reinforcement_learningLinks
Exploring bayesian strategies for approximating optimal actions in POMDPs
☆14Updated 6 years ago
Alternatives and similar repositories for bayesian_reinforcement_learning
Users that are interested in bayesian_reinforcement_learning are comparing it to the libraries listed below
Sorting:
- Safe Reinforcement Learning algorithms☆75Updated 3 years ago
- Python implementation of POMDP framework and PBVI & POMCP algorithms.☆116Updated 4 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆58Updated 3 years ago
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆31Updated 2 years ago
- Inverse Reinforcement Learning Argorithms☆53Updated 6 years ago
- Solving POMDP using Recurrent networks☆92Updated 5 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆304Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆62Updated 2 years ago
- ☆15Updated 5 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Updated 5 years ago
- (Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving☆63Updated 3 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆38Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- POMDPs in Python.☆252Updated 6 years ago
- RL Algorithms☆13Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆50Updated 2 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆51Updated 7 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆31Updated 2 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 7 years ago
- Bayesian Inverse Reinforcement Learning with simple environments☆19Updated 3 years ago
- Risk-Averse Distributional Reinforcement Learning: Code☆28Updated 7 years ago
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆66Updated 4 years ago
- Gym environments and agents for autonomous driving.☆103Updated last year