conftrace_

policy learning

702 papers

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Co-occurring keywords

reinforcement learning (4352) imitation learning (744) deep reinforcement learning (903) offline reinforcement learning (492) policy optimization (657) reward function (291) multi-agent system (1819) inverse reinforcement learning (205) markov decision process (790) robot manipulation (262)

Papers

Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark NIPS 2021
A Constrained Multi-Objective Reinforcement Learning Framework CORL 2021
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning NIPS 2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NIPS 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020
ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020
Conservative Exploration in Reinforcement Learning AISTATS 2020
Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020
Playing Atari with Six Neurons (Extended Abstract) IJCAI 2020
Spatial Action Maps for Mobile Manipulation RSS 2020
Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments AAAI 2020
Reinforcement Learning with Non-Markovian Rewards AAAI 2020
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network AAAI 2020
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning CORL 2020
Inverse Reinforcement Learning from a Gradient-based Learner NIPS 2020
Learning Vision-based Reactive Policies for Obstacle Avoidance CORL 2020
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion CORL 2020
PLAS: Latent Action Space for Offline Reinforcement Learning CORL 2020
Policy learning in SE(3) action spaces CORL 2020
Learning Interactively to Resolve Ambiguity in Reference Frame Selection CORL 2020
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression CORL 2020
Learning to Walk in the Real World with Minimal Human Effort CORL 2020
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation ACL 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020