rasoolfa / P3OLinks
P3O paper code
☆29Updated 5 years ago
Alternatives and similar repositories for P3O
Users that are interested in P3O are comparing it to the libraries listed below
Sorting:
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Updated 4 years ago
- ☆25Updated 6 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"☆11Updated 6 years ago
- ☆15Updated 4 years ago
- Change-Based Exploration Transfer☆36Updated 3 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆17Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.☆14Updated 10 months ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Code-base for the paper Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective.☆11Updated 3 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Updated 2 years ago
- Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)☆19Updated 5 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Revisiting Rainbow☆75Updated 3 years ago
- ICLR Reproducibility Challenge for Discriminator-Actor-Critic☆20Updated 6 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆55Updated 11 months ago