supratikp / HOOFLinks
Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583
☆19Updated 5 years ago
Alternatives and similar repositories for HOOF
Users that are interested in HOOF are comparing it to the libraries listed below
Sorting:
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆31Updated 6 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- ☆89Updated 4 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 6 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Updated 4 years ago
- ☆57Updated 3 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆45Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- ☆25Updated 6 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 4 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆36Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆45Updated 2 years ago
- ☆84Updated 4 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- ☆99Updated 2 years ago