hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learning
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
☆10Updated 6 years ago
Alternatives and similar repositories for Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learning:
Users that are interested in Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learning are comparing it to the libraries listed below
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Representation Learning in RL☆16Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆16Updated 7 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆16Updated 3 years ago
- ☆26Updated 5 years ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆24Updated 2 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆29Updated 4 years ago
- Code for Expert Supervised Reinforcement Learning☆10Updated 3 years ago
- ☆25Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- ☆16Updated 8 months ago
- ☆15Updated 4 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆17Updated 5 years ago
- ☆28Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- ☆30Updated 4 years ago
- ☆17Updated 2 years ago
- ☆42Updated 3 years ago
- P3O paper code☆27Updated 5 years ago
- ☆30Updated 2 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 3 years ago
- ☆13Updated 5 years ago
- ☆9Updated 4 years ago