samkatt / fba-pomdpLinks
Factored model-based Bayesian Reinforcement Learning framework
☆21Updated 2 years ago
Alternatives and similar repositories for fba-pomdp
Users that are interested in fba-pomdp are comparing it to the libraries listed below
Sorting:
- Non-linear policy graph improvement - planning for Dec-POMDPs☆16Updated 4 years ago
- A curated list of awesome Model-based reinforcement learning resources☆94Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆46Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- ☆99Updated 2 years ago
- ☆73Updated 5 years ago
- Working directory for dynamics learning for experimental robots.☆58Updated 4 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆35Updated 2 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆60Updated 5 years ago
- ☆54Updated 7 years ago
- Python implementation of POMDP framework and PBVI & POMCP algorithms.☆114Updated 3 years ago
- ☆30Updated last year
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆33Updated 2 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆46Updated 3 years ago
- The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.☆82Updated 4 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 3 years ago
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago
- Gym environments modified with adversarial agents☆36Updated 8 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆27Updated 3 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago