bhairavmehta95 / ant-env
Ant Gather and Ant Maze envs, separated from RLLab
☆11Updated 6 years ago
Related projects: ⓘ
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 5 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆22Updated 5 years ago
- Proximal Policy Option-Critic☆21Updated 5 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Hindsight policy gradients☆42Updated 4 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 4 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆66Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 4 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆71Updated 2 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 6 years ago
- Collection of reinforcement learning algorithms☆15Updated 2 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆25Updated 4 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Updated 6 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆32Updated 5 years ago
- ☆29Updated 5 years ago
- ☆95Updated last year
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆37Updated last year
- Code for generating options for planning and reinforcement learning☆11Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- ☆41Updated 5 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆30Updated 4 years ago
- Implementation of the Prioritized Option-Critic on the Four-Rooms Environment☆15Updated 6 years ago
- Episodic Control☆19Updated 2 years ago