acguez / bamcpLinks
Bayes-Adaptive Monte-Carlo Planning algorithm
☆17Updated 12 years ago
Alternatives and similar repositories for bamcp
Users that are interested in bamcp are comparing it to the libraries listed below
Sorting:
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- ☆27Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 4 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆32Updated 5 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 4 years ago
- ☆99Updated 2 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 6 years ago
- ☆54Updated 7 years ago
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Updated 7 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- ☆32Updated last year
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆31Updated 7 years ago
- Industrial Benchmark☆136Updated 2 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Implementation of the POIS algorithm☆15Updated 6 years ago
- Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.☆10Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- ☆35Updated 5 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 7 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.☆84Updated 5 years ago
- ☆72Updated 6 years ago
- Leave No Trace is an algorithm for safe reinforcement learning.☆15Updated 7 years ago