NoListen / ERL
Exploration based Reinforcement Learning. (Montezuma Revenge)
☆14Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for ERL
- ☆41Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 6 years ago
- ☆42Updated 7 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆66Updated 5 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 4 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Modular multitask reinforcement learning with policy sketches☆105Updated 3 years ago
- ☆29Updated 5 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Updated 5 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- ☆59Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆52Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆70Updated 7 years ago
- ☆32Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 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
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆86Updated 6 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago