hari-sikchi / LOOP
Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
☆36Updated 2 years ago
Alternatives and similar repositories for LOOP:
Users that are interested in LOOP are comparing it to the libraries listed below
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 4 months 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
- ☆21Updated 11 months ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆69Updated 8 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆30Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆22Updated 3 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆25Updated 2 years ago
- My Body Is A Cage☆39Updated 3 years ago
- ☆18Updated 4 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- Source code to reproduce experiments from Mendez et al., ICLR '22☆21Updated 2 years ago
- Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)☆51Updated 3 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 2 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆36Updated 2 years ago
- ☆35Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- ☆18Updated 2 years ago
- ☆23Updated 10 months ago
- ☆28Updated 4 years ago
- ☆23Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆15Updated 4 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆34Updated 2 years ago
- Change-Based Exploration Transfer☆36Updated 2 years ago
- Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code☆15Updated 6 months ago