boschresearch / DD_OPGLinks
Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
☆11Updated 6 years ago
Alternatives and similar repositories for DD_OPG
Users that are interested in DD_OPG are comparing it to the libraries listed below
Sorting:
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- ☆10Updated 3 years ago
- ☆15Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 7 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- ☆31Updated 6 years ago
- Exploration by Random Network Distillation☆15Updated 7 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 6 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"☆12Updated 3 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- ICRL 2020☆20Updated 5 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 3 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆37Updated 5 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆25Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- ☆92Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Updated 6 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆62Updated 6 years ago
- Code for generating options for planning and reinforcement learning☆12Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆69Updated 5 years ago