laurimi / npgi
Non-linear policy graph improvement - planning for Dec-POMDPs
☆16Updated 4 years ago
Alternatives and similar repositories for npgi
Users that are interested in npgi are comparing it to the libraries listed below
Sorting:
- Factored model-based Bayesian Reinforcement Learning framework☆20Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆38Updated 2 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- ☆21Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- ☆54Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- ☆30Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 6 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆29Updated 5 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆18Updated 2 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Multi-agent active perception with prediction rewards☆12Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- ☆18Updated 4 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆25Updated 3 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- ☆10Updated 2 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- ☆19Updated 4 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago