jonasrothfuss / model_ensemble_meta_learning
Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm
☆44Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for model_ensemble_meta_learning
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- ☆97Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆18Updated 5 years ago
- ☆30Updated last year
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- ☆81Updated 3 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆50Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- ☆90Updated 11 months ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆42Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆98Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆62Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆36Updated 3 weeks ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆66Updated 4 years ago
- ☆71Updated 5 months ago
- Implementation of the Option-Critic Architecture☆36Updated 5 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆32Updated last year
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- Revisiting Rainbow☆73Updated 3 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆25Updated 4 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- ☆40Updated 3 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago