TheMTank / cups-rlLinks
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
☆49Updated 5 years ago
Alternatives and similar repositories for cups-rl
Users that are interested in cups-rl are comparing it to the libraries listed below
Sorting:
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆70Updated 2 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆48Updated 5 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆77Updated last year
- ☆22Updated 2 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆50Updated 2 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆64Updated 5 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆34Updated 6 years ago
- ☆66Updated 5 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆98Updated 4 years ago
- A standalone library to randomize various OpenAI Gym Environments☆63Updated 5 years ago
- ☆28Updated 4 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- ☆68Updated 3 years ago
- Learning to Imitate Behaviors from Raw Video via Context Translation☆52Updated 7 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 5 years ago
- Guided-Meta Policy Search☆40Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆45Updated 2 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 6 years ago
- ☆21Updated 2 years ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Updated 4 years ago
- ☆112Updated 2 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Change-Based Exploration Transfer☆36Updated 3 years ago
- Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21☆23Updated 4 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 5 years ago
- A collection of manipulation tasks with the fetch robot☆22Updated 3 years ago