ermongroup / CalibratedModelBasedRL
Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
☆55Updated 5 years ago
Alternatives and similar repositories for CalibratedModelBasedRL:
Users that are interested in CalibratedModelBasedRL are comparing it to the libraries listed below
- ☆98Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆72Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆91Updated last year
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…☆32Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 5 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- ☆15Updated 4 years ago
- ☆54Updated 7 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆31Updated 2 years ago
- ☆30Updated last year
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- ☆61Updated 6 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- ☆19Updated 4 years ago