DartML / PPO-Stein-Control-Variate
Proximal Policy Optimization with Stein Control Variates:
☆33Updated 6 years ago
Related projects: ⓘ
- ☆42Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆22Updated 5 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆77Updated 5 years ago
- ☆65Updated 6 months ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated last year
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆66Updated 5 years ago
- ☆41Updated 5 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆33Updated 6 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆30Updated 4 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆47Updated 2 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- ☆44Updated 5 years ago
- ☆35Updated 6 years ago
- ☆26Updated 5 years ago
- Ant Gather and Ant Maze envs, separated from RLLab☆11Updated 6 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆71Updated 2 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆86Updated 6 years ago
- krazy grid world☆25Updated 4 years ago
- Dead-ends and Secure Exploration in Reinforcement Learning☆11Updated 5 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆90Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago