bhairavmehta95 / data-efficient-hrl
Implementation of Data Efficient Reinforcement Learning in Pytorch
☆20Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for data-efficient-hrl
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- ☆24Updated last year
- ☆14Updated 4 years ago
- Code for generating options for planning and reinforcement learning☆11Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- ☆25Updated 4 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 4 years ago
- Ant Gather and Ant Maze envs, separated from RLLab☆11Updated 6 years ago
- Change-Based Exploration Transfer☆36Updated 2 years ago
- ☆41Updated 6 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆15Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- ☆41Updated 3 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆15Updated 4 years ago
- ☆28Updated 3 years ago
- My Body Is A Cage☆38Updated 3 years ago
- ☆54Updated 8 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated last year
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆33Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines☆49Updated 2 years ago
- ☆30Updated 3 months ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 4 years ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆21Updated last year
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 5 years ago
- ☆17Updated 2 years ago