vub-ai-lab / bdpiLinks
Sample-Efficient Reinforcement Learning with Bootstrapped Dual Policy Iteration
☆25Updated 6 years ago
Alternatives and similar repositories for bdpi
Users that are interested in bdpi are comparing it to the libraries listed below
Sorting:
- Baselines and memory-based scenarios for the ViZDoom simulator☆36Updated 2 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 7 years ago
- ☆35Updated 7 years ago
- ☆89Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- ☆49Updated 5 years ago
- ☆57Updated 3 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Shared autonomy via deep reinforcement learning☆79Updated 2 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆128Updated 6 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- ☆25Updated 6 years ago
- Gym environments for Robots that learn to interact with the environment autonomously☆34Updated 2 years ago
- ☆68Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 7 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago