implementation-matters / code-for-paper
☆106Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for code-for-paper
- ☆90Updated 11 months ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆119Updated 3 years ago
- ☆97Updated last year
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆149Updated 4 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- ☆118Updated 3 months ago
- ☆81Updated 3 years ago
- ☆110Updated last year
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 3 years ago
- rllab's viskit with some added features☆73Updated last year
- ☆59Updated 6 years ago
- ☆190Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆159Updated 4 years ago
- Soft Actor-Critic☆141Updated 6 years ago
- Revisiting Rainbow☆73Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆163Updated 2 years ago
- ☆85Updated 3 months ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated last year
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- ☆41Updated 6 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 5 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆171Updated 2 years ago
- Paper Collection for Imitation Learning in RL.☆134Updated 2 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆83Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆144Updated 3 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆70Updated last year
- Pytorch implementation of distributed deep reinforcement learning☆74Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆207Updated last year
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 4 years ago