mingzhangPHD / Adversarial-Imitation-Learning
Wasserstein Distance guided Adversarial Imitation Learning (WDAIL) with Reward Shape Exploration
☆13Updated 3 years ago
Related projects: ⓘ
- Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)☆19Updated 4 years ago
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings☆14Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆32Updated 2 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆45Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆37Updated 3 years ago
- ☆23Updated last year
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆30Updated last year
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 3 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆35Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆30Updated 4 years ago
- PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).☆29Updated 2 years ago
- PyTorch IMPALA implementation☆24Updated 5 years ago
- ☆14Updated 3 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆17Updated last year
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 2 years ago
- An easy to understand implementation of the paper "Model-Based Reinforcement Learning for Atari"☆14Updated 4 years ago
- ☆20Updated 5 months ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated last year
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆69Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆25Updated 5 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆18Updated 5 years ago
- ☆17Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆15Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated 2 weeks ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 2 years ago
- Code for Paper "State Alignment-based Imitation Learning". Under maintenance☆16Updated 4 years ago
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆67Updated last year