thanard / me-trpoView external linksLinks
☆92Dec 5, 2023Updated 2 years ago
Alternatives and similar repositories for me-trpo
Users that are interested in me-trpo are comparing it to the libraries listed below
Sorting:
- ☆16Jun 30, 2019Updated 6 years ago
- ☆398Jul 18, 2019Updated 6 years ago
- ☆15Sep 14, 2020Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Sep 13, 2019Updated 6 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆472Jul 6, 2023Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆530Nov 22, 2022Updated 3 years ago
- ☆345Jan 24, 2018Updated 8 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Jul 26, 2019Updated 6 years ago
- ☆13Mar 16, 2023Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Nov 8, 2019Updated 6 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆18Jul 18, 2019Updated 6 years ago
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago
- ☆10Aug 17, 2022Updated 3 years ago
- Soft Actor-Critic☆156Mar 13, 2018Updated 7 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 3 years ago
- ☆33Aug 30, 2024Updated last year
- Personal Repo to keep track of RL papers☆31May 3, 2021Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Apr 14, 2021Updated 4 years ago
- ☆54Feb 28, 2024Updated last year
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55May 15, 2019Updated 6 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191May 17, 2022Updated 3 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Mar 24, 2023Updated 2 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- Bayesian Reinforcement Learning in Tensorflow☆335Feb 15, 2021Updated 5 years ago
- ☆26Mar 16, 2023Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Sep 24, 2019Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24May 30, 2019Updated 6 years ago
- ☆28Mar 13, 2019Updated 6 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆69Jun 5, 2020Updated 5 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Sep 24, 2019Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Jun 30, 2019Updated 6 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Feb 21, 2020Updated 5 years ago
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆42Jul 16, 2023Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Oct 6, 2021Updated 4 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Dec 8, 2022Updated 3 years ago
- ☆73Jul 7, 2020Updated 5 years ago
- ☆15Oct 20, 2020Updated 5 years ago
- ☆33Jul 30, 2024Updated last year