KamyarGh / rl_swissLinks
☆66Updated 5 years ago
Alternatives and similar repositories for rl_swiss
Users that are interested in rl_swiss are comparing it to the libraries listed below
Sorting:
- ☆99Updated 2 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆51Updated 3 years ago
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆73Updated 2 years ago
- ☆92Updated 2 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 5 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- ☆139Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆100Updated 4 years ago
- ☆114Updated 2 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 4 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆78Updated 2 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 6 years ago
- ☆32Updated 4 years ago
- ☆15Updated 7 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- Proximal Policy Option-Critic☆26Updated 6 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆48Updated 6 years ago
- Code for Paper "State Alignment-based Imitation Learning". Under maintenance☆17Updated 5 years ago
- ☆23Updated 3 years ago
- ☆16Updated 6 years ago
- ☆54Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- A standalone library to randomize various OpenAI Gym Environments☆63Updated 6 years ago
- Soft Actor-Critic☆156Updated 7 years ago