facebookresearch / ddr
Decoupling Dynamics and Reward for Transfer Learning
☆16Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for ddr
- ☆97Updated last year
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆21Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆54Updated 5 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆25Updated 5 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 3 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆65Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆90Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Reinforcement Learning papers on exploration methods.☆20Updated 3 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated last year
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- ☆44Updated 5 years ago
- On the pitfalls of measuring emergent communication☆34Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆44Updated 4 years ago
- ☆26Updated 5 years ago
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆43Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆74Updated 5 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 6 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 3 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆60Updated 5 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆31Updated 4 years ago