samkatt / fba-pomdp
Factored model-based Bayesian Reinforcement Learning framework
☆20Updated 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
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆20Updated 3 years ago
- Non-linear policy graph improvement - planning for Dec-POMDPs☆16Updated 4 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Safe exploration in Markov Decision Processes☆37Updated 7 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
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"☆11Updated 3 years ago
- ☆98Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆43Updated 6 years ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆18Updated 2 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 5 years ago
- Implementation of Partially Observable Monte Carlo Planning Algorithm☆61Updated 6 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- ☆30Updated last year
- Implementations of SAILR, PDO, and CSC☆32Updated 9 months ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆16Updated 6 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆25Updated 3 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- ☆54Updated 7 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 6 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Gym environments modified with adversarial agents☆36Updated 8 years ago
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 4 years ago