acguez / bamcp
Bayes-Adaptive Monte-Carlo Planning algorithm
☆16Updated 11 years ago
Related projects: ⓘ
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆47Updated 2 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 2 years ago
- ☆25Updated 5 years ago
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Updated 6 years ago
- ☆26Updated this week
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆18Updated 3 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- Model-based reinforcement learning in TensorFlow☆53Updated 3 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- ☆54Updated 6 years ago
- ☆65Updated 6 months ago
- Dead-ends and Secure Exploration in Reinforcement Learning☆11Updated 5 years ago
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆28Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆54Updated 5 years ago
- A library to benchmark reinforcement learning algorithms☆21Updated 6 years ago
- ☆30Updated 10 months ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆77Updated 5 years ago
- ☆69Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆33Updated 6 years ago
- ☆9Updated 4 years ago
- ☆14Updated 5 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 4 years ago
- A toolbox for inference of switching systems for control☆13Updated 3 years ago
- Variational Inference by Policy Search☆13Updated 5 years ago
- This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms☆27Updated 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
- Google AI Princeton control framework☆38Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆25Updated 5 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- Deep Successor Representation☆17Updated 6 years ago