TheMTank / cups-rl
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"
☆48Updated 4 years ago
Alternatives and similar repositories for cups-rl:
Users that are interested in cups-rl are comparing it to the libraries listed below
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆68Updated last year
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 5 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- A standalone library to randomize various OpenAI Gym Environments☆61Updated 5 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- ☆25Updated 2 years ago
- Change-Based Exploration Transfer☆36Updated 2 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆76Updated last year
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆96Updated 4 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 4 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆49Updated 2 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 7 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆46Updated 5 years ago
- ☆68Updated 3 years ago
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆44Updated 2 years ago
- A collection of manipulation tasks with the fetch robot☆21Updated 3 years ago
- Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.☆16Updated last year
- Residual policy learning☆58Updated 5 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆62Updated 4 years ago
- ☆69Updated 2 years ago
- Official implementation of ICML paper Imitating Latent Policies from Observation☆74Updated 5 years ago
- ☆66Updated 4 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 5 years ago
- Reinforcement Learning with Videos: Combining Offline Observations with Interaction☆29Updated 3 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆37Updated 4 years ago
- ☆110Updated last year
- ☆60Updated 6 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆36Updated 3 years ago